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  • Can Doctors Be Data Scientists?

    Wolfram Research, Inc., creator of Mathematica, Wolfram|Alpha and the Wolfram Language, announces the integration of Wolfram technology with SolveBio, the operating system for precision medicine that enables biotech and pharmaceutical companies to leverage molecular information for therapeutic development.

    Source: PR Newswire
    23787
  • Bereaved father, Microsoft data scientists combat infant deaths

    Scientists crunching numbers on infant deaths in the US are using data-analysis algorithms to try and find new ways to reduce the number of babies lost to SIDS each year, with Microsoft contributing free cloud hosting and software tools for their work.

    Source: The Star
    10089
  • Big Data, Big Dangers for All Countries

    Think beyond the nosy neighbour to the corporations that want to utilise minutia of your life to sell products that you may or may not need. Corporations have always been interested in understanding consumer behaviour and been collecting data about users using their products or service.

    Source: The Hindu
    9753
  • 9 Must-Have Skills You Need to Become a Data Scientist

    Burtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.

    Source: KDnuggets
    14103
  • What Are The Top Five Skills Data Scientists Need?

    What are the top 5 skills needed to become a data scientist? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: Forbes
    11700
  • Data Science Terminology: 26 Key Concepts Everyone Should Understand

    Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.

    Source: Data Informed
    17784
  • How to hire a great Data Scientist?

    Data Science is a comparatively new domain which most of us is not thorough with, agreed?

    Source: Aircto
    9837
  • AI: Everything you need to know

    Imagine a business world where employees are faster and more productive - where they can make smarter decisions and have the time to focus on strategy and being creative. This is all a near-reality with continued breakthroughs in artificial intelligence (AI) capabilities. AI is at the tipping point of becoming the next great technological disruptor.

    Source: Salesforce
    10647
  • 6 online data science courses to launch your career

    Want to be a data scientist? Third-level institutions and full-time education aren't the only way you can learn essential data science skills.

    Source: Siliconrepublic
    15708
  • Without communication, machine learning for data science goes nowhere

    The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.

    Source: Techtarget
    14385
  • How to get the best business value out of data scientists

    Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for them.

    Source: Computerweekly
    19515
  • Learn these 3 languages now if you want to become a data scientist

    Demand for developers with data science skills continues to grow. Here's what you need to learn to break into a career in the field.

    Source: Techrepublic
    9996
  • Demand growing for skilled machine learning engineers

    Demand for this role: In most cases a machine learning engineer will partner with a data scientist so that their work will be synonymous with one another; therefore demand for these candidates arguably is extremely similar.

    Source: Information Management
    12921
  • 5 professions that could see significant growth with the rise of AI

    The words artificial intelligence often conjure up a sense of fear and apprehension. Fear for the unknown possibilities of AI, fear for the AI-fueled dystopian images brought about by movies like The Terminator, and most practically, fear for the possibility that AI will someday take our jobs.

    Source: VB
    20115
  • Opinion Data engineers will be more important than data scientists

    Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500.000-plus per year for a data scientist worth it? What is a data scientist anyway?

    Source: IM
    15222
  • Looking to join a top data team? These 5 Chicago tech companies are hiring

    Tech companies are constantly looking for an edge over the competition, and that usually means digging deep into data. That's good news for those who are mathematically inclined. If that sounds like you and you're looking to break into the Chicago tech scene, these open roles would be a good place to start.

    Source: Builtinchicago
    14061
  • Using data to stay ahead of the herd

    Coupled with technology, data can transform the way businesses operate to stay ahead of their competitors.

    Source: Daily Nation
    9807
  • Hiring vs. training data scientists: The case for each approach

    Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert.

    Source: Search Business Analytics
    10194
  • MAKING A CASE FOR SEXY

    While all the attention is on the data scientists, it's market research where the really interesting work is says Ryan Howard.

    Source: RESEARCHLIVE
    11268
  • LinkedIn: Machine learning jobs are on the rise

    Machine learning engineers, data scientists, and Big Data engineers are among the top emerging jobs in technology. This is based off of a recently released report from LinkedIn.

    Source: SD Times
    12357
  • Harnessing the Power of Data: Q&A with a Chief Data Scientist

    Bennett Borden, chief data scientist at the Philadelphia firm of Drinker, Biddle & Reath, discusses his take on the evolution of legal analytics.

    Source: Law.com
    9306
  • It doesn't take a data scientist to know which title tops Glassdoor's 50 Best Jobs

    Data scientists - or people who hope to become one - are collecting a lot of data about how great it is to be a data scientist, thanks to another list of the Best Jobs in America from Glassdoor.

    Source: Geekwire
    25353
  • Lets Prepare Data Scientist Interview Know how to do!

    Cracking any interview requires preparation and in the case of data science it is not restricted to performing well on the big day alone. An aspiring data scientist is expected to prepare across multiple fronts. Here, we provide you with a insight into the levels of preparation required and how to go about it.

    Source: HOB
    18039
  • Great Data Scientists Don't Just Think Outside the Box, They Redefine the Box

    Special thanks to Michael Shepherd, AI Research Strategist, Dell EMC Services, for his co-authorship. Learn more about Michael at the bottom of this post.

    Source: Linkedin Pulse
    18960
  • The Two Sides of Getting a Job as a Data Scientist

    Are you a Data Scientist looking for a Job? Are you a Recruiter looking for a Data Scientist? If you answered yes or NO to this questions you need to read this.

    Source: Kdnugget
    16065
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?

    Source: Kdnugget
    12198
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?

    Source: Kdnugget
    6531
  • Want to Become a Data Scientist? Read This Interview First

    There's been a lot of hype about Data Science... and probably just as much confusion about it.

    Source: Kdnugget
    32499
  • 2018 Data Science Interview Questions for Top Tech Companies

    Data Science has become an integral part of making crucial business decisions in today's competitive market. This is one of the reasons companies are on a rampage to hire Data Scientists and qualified ones at that. The data science job interviews at companies like Facebook, Google, LinkedIn, AirBnB, Insight, Twitter, Mu Sigma have one thing in common - these interviews are tough. But we have a list of helpful data science interview questions from these companies that will help while someone is preparing to apply for the post of a Data Scientist.

    Source: HOB
    98676
  • How Docker Can Help You Become A More Effective Data Scientist

    I wrote this quick primer so you don't have to parse all the information out there and instead can learn the things you need to know to quickly get started.

    Source: kDnugget
    19143
  • Top mistakes data scientists make when dealing with business people

    There are no cover articles praising the fails of the many data scientists that don't live up to the hype. Here we examine 3 typical mistakes and how to avoid them.

    Source: Cyborgus
    13239
  • 5 Challenges Your Chief Data Officer is Likely to Face

    With data now easier to collect and analyze than ever before, companies are recognizing the business value of such information - and the need to tap into it quickly. Enter the chief data officer (CDO), the newest role in the C-suite that is responsible for defining and putting into place a data management strategy.

    Source: DataScience
    12126
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    11934
  • Machine Learning Engineer, Data Scientist among the best Jobs in 2018

    Machine Learning Engineer, with avg. salary of $136K and Data Scientist, with avg. salary $133K are among the top US jobs in 2018, according to job site Indeed.

    Source: HOB
    34182
  • How Do I Get My First Data Science Job?

    As an organizer for a data science meetup group, I am often asked this question.

    Source: HOB
    23175
  • 5 Ways Data Scientists Keep Learning After College

    Taken from the answers experts gave, here is a compiled list of 5 essential actions and attitudes that keep data scientists learning after their degrees.

    Source: HOB
    19668
  • Salaries of Data Scientists and Machine Learning Engineers From Around the World

    Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: Brazil ($35K), Poland ($29K), Ukraine ($25K), India ($14K) and Russia ($13K).

    Source: HOB
    58605
  • Skills Required To Become Data Scientists

    Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.

    Source: HOB
    25941
  • Data Science Job Roles Across Organizational Levels

    Data scientists work at all levels of the organization. Our survey of data professionals revealed that Director-level data scientists have the highest level of proficiency across many data science skills and work with more of their peers compared to data scientists who are Individual Contributors, Managers or even Executives. Satisfaction with outcome of analytics projects did not differ across job levels.

    Source: HOB
    17214
  • Don't Have a Marketing Data Scientist? You Don't Know What You're Missing

    As digital marketing strategies grow more sophisticated and complex, businesses find themselves wrestling with more data than ever.

    Source: HOB
    9033
  • Data science is the big draw in business schools

    Student demand for degrees in the subject soars as employers seek skilled analysts

    Source: HOB
    31404
  • Hedge Yourself From a Risky Data Science Job

    This article covers why it's important to consider all the factors when being hired as a data scientist.

    Source: HOB
    12738
  • Five Big Data and Data Science Trends to Expect In 2018

    According to an IDC Digital Universe Study, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Uncovering insights from this homogenous amount of information will require the seamless adoption of big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations

    Source: HOB
    13662
  • Data Scientist: One of the most lucrative job profiles today

    Since long, there has been a lot of buzzing in the media about Data Science, Big Data, Machine Learning, Deep Learning etc. captivating decision based on Data is not only an intrinsic intelligence but a well-built profitable sense too. While every corporation is trying to change itself into a data-driven corporation, many are stressed to apply it due to lack of considerate and lack of skilled professional.

    Source: HOB
    8892
  • Everything You Should Know About 21st Century's Most Sexiest Job Profile - Data Scientist

    Taking decisions based on Data is not only an inherent sense but a strong commercial sense too.

    Source: HOB
    12519
  • Machine Learning Engineer, Researcher, Data Scientist have the highest job satisfaction

    KDnuggets poll finds that Machine Learning Engineer, Researcher, and Data Scientist have the highest job satisfaction. Job satisfaction usually starts high, but drops significantly after 4 years on the job. Data professionals in Asia and Latin America are most unsatisfied.

    Source: HOB
    20505
  • The growing demand of Data Scientists

    The exploding demand for data scientists is representative of a need that will not slow down anytime soon. The monetary value of storing, workings with and drawing penetration from data keeps falling the demand for professionals that can work with this data and deliver on the insight will continue to grow.

    Source: HOB
    17277
  • Major Challenges Faced by Data Scientists

    Data science is ubiquitous and is broadening its branches all over the world. The invisible hand of data science in the form of ranking algorithm governs the news streams and feed, recommendation engines that guide the content we see on Netflix and YouTube. Similarly, survival analyses for the estimation of time queues and neural networks for self-driving cars. But there includes a lot of challenges which hinders a data scientist while dealing with data.

    Source: HOB
    9897
  • Top 8 Data Science Tools in 2018

    Becoming data scientist is really hard. Each & every project requires a different kind of programming language or software to focus on. There is an immense list of tools for data science. Here are top 8 data science tools in 2018:

    Source: HOB
    13305
  • 5 Myths About Artificial Intelligence

    Artificial intelligence is the future. Google, Microsoft, Amazon and Apple are all making big bets on AI. Artificial Intelligence (AI) is all the rage from self-driving cars and Siri personal assistants, to chatbots and email scheduling agents that will take routine tasks out of human hands.

    Source: HOB
    9999
  • Why Should You Learn Data Science: Know Top 10 Reasons

    Numbers don't lie, data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies

    Source: HOB
    9405
  • 9 Must-have skills you need to become a Data Scientist, updated

    Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.

    Source: HOB
    15537
  • Top 12 Interesting Careers to Explore in Big Data

    From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.

    Source: HOB
    19428
  • The 10 Step Guide to Mastering Machine Learning

    Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don't.

    Source: HOB
    14106
  • What does a data scientist actually do?

    In this feature, we take a look inside the working lives of people whose job titles often warrant the question: 'but what do you actually do?' This week, we speak to Glenn Bunker, data scientist at realestate.com.au.

    Source: HOB
    11982
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Data science informs entrepreneurs in a way that listening to their gut just can't.

    Source: HOB
    13341
  • Getting Data Science Right: How To Structure Data Science Teams For Maximum Results

    Data scientists have become the darlings of today's competitive job market. Entry-level salaries can range into six figures, and roughly 700,000 job openings are projected by 2020. There's good reason for this spike in demand, too.

    Source: HOB
    9801
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Harvard hosts some of the most prestigious programs in the world, especially in business and law. So it was big news in the data science industry when the university announced a new master's program in data science in March 2017

    Source: HOB
    14364
  • Google's chief economist thinks the world needs more data scientists

    Not that long ago, the concept of "Big Data" was pretty abstract. Few companies considered it feasible to sift through huge sets of data looking for speculative insights.

    Source: HOB
    14061
  • Data Psychology: The Future of Data Scientists

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgmental error. Data Science is everywhere and here is the rescue for how to be a data scientist. Data scientists basically deal with huge no of both the data whether structured or not structured and the future of data scientists will be data psychology.

    Source: HOB
    8415
  • Explore More About Data Science And Its Significant Importance

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.

    Source: HOB
    19182
  • Understanding Subjectivity in Data Science

    In a perfect world, data scientists would take subjectivity out of their conclusions when examining findings.

    Source: HOB
    9474
  • Skills Required For Data Scientist

    Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.

    Source: HOB
    8379
  • The 5 Clustering Algorithms Data Scientists Need to Know

    Today, we're going to look at 5 popular clustering algorithms that data scientists need to know and their pros and cons!

    Source: HOB
    23268
  • Importance and Scope of Data Analytics in Business World: Need To Know

    Analytic is the interpretation of the data collected. Raw form of data is not of any use. It is important to convert raw data into analytic so that it is easier to find that what is the decision that are to be taken by the use of analytic. Businesses use this analytic for making actionable business analytic that will help them in taking real time actions.

    Source: HOB
    21801
  • What is Apache Spark and Why it is Popular among Data Scientists?

    Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.

    Source: HOB
    16275
  • Developers Should have Strong Understanding of "Machine Learning Algorithms"

    For any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.

    Source: HOB
    10404
  • Demand For Data Scientists Surge By 400% In India

    There is a stark contrast in the demand and supply of data scientists in India

    Source: HOB
    10152
  • Google Next 2018: A deeper dive on AI and machine learning advances

    Google Cloud announcements bring deep learning and big data analytics beyond data scientists, but enterprises will want more.

    Source: HOB
    12735
  • Streamlining the Data Scientists Workflow

    Data Scientists are big data wranglers. They consider mass and messy data both structured and unstructured and use their formidable skills and organize them accordingly. They use or apply their analytics power to uncover hidden solutions to business challenges.

    Source: HOB
    16377
  • The answer to recruit the best data scientist for employers

    It was declared as the "sexiest job of the 21st century," by Harvard Business Review. While the job has got a great description by Harvard the career path for now is a bit uncertain.

    Source: HOB
    11217
  • How Organizations can get Best Out of Data Scientists?

    Data Scientists is the highest paying and demanding job in the current year. All HR professionals are under pressure to get hired the best data science talent so they can achieve the valuable business insights. According to Harvard Business Review described the role of data scientists as it is the sexiest job of the 21st century.

    Source: HOB
    7203
  • How to Become a Data Scientist - Part 2

    Check out part 2 of this excellent series of articles on becoming a data scientist, written by someone who spends their day recruiting data scientists. This installation focuses on learning.

    Source: HOB
    13671
  • What Data Scientists Want?

    We examine what's important for data scientists in their careers, including challenging work, networking with peers, foreseeing their career path and creating a good work-life balance.

    Source: HOB
    8490
  • Top 10 roles in AI and data science

    When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not!

    Source: HOB
    12396
  • Five Lessons from My Data Science Internship at the United Nations

    When I heard about the work at UNDP Global Pulse, I thought it was something straight out of a movie. Data science for social impact sounds like the coolesting thing I can do with mathematics.

    Source: HOB
    43068
  • 5 Lessons I Have Learned From Data Science In Real Working Experience

    It has been a while even since I posted on Medium. Having been in Data Science for almost half a year, I've made a lot of mistakes and learned from the mistakes along the wayâ?¦ through the hard way.

    Source: HOB
    10659
  • 45 Ways to Activate Your Data Science Career

    We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. Some of the most common frustrations were:

    Source: HOB
    12969
  • Seven Practical Ideas For Beginner Data Scientists

    As someone who has been there, I'd like to outline a few practical ideas to help junior data scientists get started at a small software company. The steps were drawn from my personal journey and that of others before me.

    Source: HOB
    8967
  • How Will Data Science Evolve Over The Next Decade?

    How do you think data science will change over the next 10 years? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    9180
  • Practical Advice for Data Science Writing

    Useful tips to get started writing about your data science projects

    Source: HOB
    9999
  • Top 5 business-related books all Data Scientist should read

    This curated list of mindset-changing books will help you become a better Data Scientist

    Source: HOB
    18027
  • 88 Data Science Resources & Tools to Become a Data Scientist Expert

    Harvard Business Review has regarded data scientist as the sexiest job of the 21stcentury. In this article, with the assistance of Octoparse V7, one of the best free web data scraping tool, we aggregated the resources and tools that you may need to become a data scientist.

    Source: HOB
    101256
  • 5 Data Science Lessons from a Data Scientist Intern at a Tech Unicorn

    Actionable takeaways from a memorable experience As we moved into August and summer begins to wind down, I thought I'd take the time to reflect on my last 12 weeks as a Data Science Intern for Unity Technologies in San Francisco, CA.

    Source: HOB
    10962
  • What are data scientists paid around the world

    Annual salaries for data scientists and machine learning engineers vary significantly across the world.

    Source: HOB
    7542
  • Business Results can be Improved With the Help of Big Data Analytics

    Big Data Analytics is the perfect solution for the complex problems. Every marketer have to take right decision for their organization and now for all those decisions they need not to be depend on their employees. With the help of big data analytics they can easily come to know about each fact and findings.

    Source: HOB
    8559
  • 19 Free Public Data Sets for Your First Data Science Project

    Completing your first project is a major milestone on the road to becoming a data scientist. It's also an intimidating process. The first step is to find an appropriate, interesting data set. You should decide how large and how messy a data set you want to work with; while cleaning data is an integral part of data science, you may want to start with a clean data set for your first project so that you can focus on the analysis rather than on cleaning the data.

    Source: HOB
    23907
  • Top 9 Data Science Skills Must Have to Become a Data Scientist

    Here details of the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.

    Source: HOB
    79260
  • 100 Plus Commonly Asked Data Science Interview Questions to Get Job as Data Scientist

    Preparing for an interview is not easy - naturally, there is a large amount of uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or technical skill you have, an interviewer can throw you off with a set of questions that you didn't expect.

    Source: HOB
    18384
  • Data Science Takes on Public Education for Data Scientist

    I came across a challenge on Kaggle called PASSNYC: Data Science for Good. Nelson Mandela was right. Education is a powerful weapon as well as one of life's greatest gifts.

    Source: HOB
    9615
  • 6 Most Popular Data Science Books That Every Data Scientist Should Read in 2018

    Data Science is very hot and demanding field which contains methods and techniques from the other fields like statistics, machine learning, artificial intelligence, Bayesian and many more other fields. The main purpose of these fields is to generate meaningful insights from the collected data.

    Source: HOB
    44271
  • 5 Data Science Projects That Will Get You Hired as Data Scientist in 2018

    A portfolio of real-world projects is the best way to break into data science. This article highlights the 5 types of projects that will help land you a job and improve your career.

    Source: HOB
    9702
  • Challenges you might face if you are a data scientists

    Like other careers that don't come without challenges; data science too has its own challenges to concur.

    Source: HOB
    7311
  • What Data Scientists Really Do? According to 35 Data Scientists Report

    Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it's poised to transform all sectors, from retail, telecommunications, and agriculture to health, trucking, and the penal system.

    Source: HOB
    12822
  • Lets Start Using Data Science To Drive Greater Business Success: Data Scientist

    Despite the struggles, it is possible to leverage data science and machine learning to scale your business, save time and grow revenue while improving your customers' experience.

    Source: HOB
    8640
  • 8 Real Challenges Data Scientists Face All Time

    I want to explore the real challenges of data science, based on perspectives from those in the field and those who manage them. However, no career is without its challenges, and data science is not an exception.

    Source: HOB
    8646
  • How To Become a Data Scientist, According To Grab's Data Science Head

    What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun

    Source: HOB
    63252
  • How to Come Out on Data Science Top in The Data Scientist Hiring War

    Demand for data scientists is at an all-time high and will continue to be at record levels in the coming years while these professionals become more scarce.

    Source: HOB
    32931
  • How Docker Can Help You Become A More Effective Data Scientist

    I would never use as a data scientist, or too shallow: not giving me enough information to help me understand how to be effective with Docker quickly.

    Source: HOB
    21513
  • Are Data Scientists the Highest Paid Job?

    There is considerable hype around data science. Websites and social media are flooded with articles on Big Data, Data Science, and Data Analytics. These fields are projected as top fields, while data scientists are considered as saviors of the world and hence are supposed to be highest paid professionals.

    Source: HOB
    61578
  • Want A Job In Data Science? There May Be A Test To Become Data Scientist

    Data analytics is becoming more vital for businesses, and data scientists are in high demand. But the emerging field is broad, and some companies say they have struggled to find job candidates whose skills fit their needs.

    Source: HOB
    61149
  • 10 Machine learning frameworks those are popular amongst Data scientists

    Data scientists has taken the spot of the number one job in America, and not only for America Data Scientists, data science jobs are amongst the most coveted careers all around the globe.

    Source: HOB
    8559
  • What are the best free online Big Data and Data science courses?

    IBM recently predicted that in the next two years there might be a boost of 28 percent in the number of employed Data scientists.

    Source: HOB
    24249
  • Why Data Sciences Today Cannot Be Ignored by Smart Entrepreneurs?

    With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.

    Source: HOB
    10200
  • Why Data Scientists Like Python Over Java?

    Most developers have dubbed Python as the Swiss Army Knife in the data science community. It is easy to understand the reason behind it.

    Source: HOB
    50256
  • Why is data science considered as a lynchpin for HR's Success?

    Data analytics is providing the HR department with new insights into employees and policies in the workplace.

    Source: HOB
    7740
  • 8 thought processes that can help you become a Data Scientists

    A data scientist needs to be Critical and always on a lookout for something that misses others......

    Source: HOB
    7551
  • Whom To Hire Data Scientist or Data Engineer for Data?

    Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.

    Source: HOB
    15684
  • Major Challenges Face By Data Scientist, Do They Need To Adopt A Broader Set Of Skills For Survival?

    Data Scientists are expected to have a broader set of skills, which is realistically not possible. We believe a time will come when we expect more specialisation and collaboration by data scientists, rather than expecting one person to know everything.

    Source: HOB
    10248
  • Why Data Scientists Are Required For AI Evolution! Let's Know

    Until a few years ago the work of data scientists was isolated and mattered primarily for research and/or R&D purposes. The industry has been extremely thankful for the contributions of these clever individuals but we need them now in the mainstream.

    Source: HOB
    11982
  • Top 5 Business-Related Books That Every Data Scientist Should Read

    This curated list of mindset-changing books will help you become a better Data Scientist. According to Drew Conway, the Data Science Unicorn is an expert in statistics, programming, and business.

    Source: HOB
    12150
  • 15 Books That Will Help Data Scientists to Increase Their Knowledge

    Today every person is talking about the new business ideas and wants to start thier own dream company. But in Data Science this is little bit different and the success in this filed is mainly driven by knowledge on the particular subject. So for this practice every data scientists should read books and gain the insights.

    Source: HOB
    20097
  • Looking For Data Science Jobs: The Perfect Data Scientist Doesn't Exist

    What are the most to least important skills, and the types of people who apply for data science jobs. I talked about all of the skills I want in an ideal candidate. But since that candidate doesn't exist, I have to prioritize what attributes the candidates that I hire have.

    Source: HOB
    16785
  • What are the difference between Data Scientists, Data Engineer

    The growth of data and its usage across the industry is hidden from none. During the last decade in general, and the last couple of years in particular, we have seen a major distinction in the roles tasked with crafting and managing data.

    Source: HOB
    9273
  • These signs will tell if you are a data scientist or not.

    Just because you aspire to be a data scientist doesn't mean you already are qualified to be one.

    Source: HOB
    7827
  • Data Science Leads to the Business Success

    In today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.

    Source: HOB
    10221
  • How Organizations Are Using Machine Learning Platforms?

    Machine Learning algorithms enable software applications to predict more accurately outcomes. Most of the organizations use top machine learning platforms to build the models that can receive data from the various sources.

    Source: HOB
    15390
  • Collection of Best Data Science Platform, Data Scientists Must Aware Of Them!!

    Around Data Science Platforms all of its functionalities like data exploration and integration from several sources, coding, model building are executed. Data science platforms are programmed to train and test models and deploy the results to solve real-life business challenges.

    Source: HOB
    13467
  • 7 things to know that will get you the top end of the payscale for Data Scientist.

    Data Scientists are being paid anywhere from around $30K and also paying up to $150k depending on the skills one has and skills he can provide to the job.

    Source: HOB
    76899
  • 80% of Global Businesses Looking To Hire A Data Scientist in 2019 According to MHR Analytics

    Survey of company leaders shows the vast majority are planning to hire data scientists as economic uncertainty continues.

    Source: HOB
    58716
  • Building Data Science Capabilities for Companies and Know the Real Potential of Data Scientists

    Now a day's most of the organizations are using Data Science capabilities to shape the next set of products which will be more personalized and dynamic. Businesses across verticals have been sitting on huge quantities of data over the years, in various forms like customer, partner, and internal data.

    Source: HOB
    10794
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    6987
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    8571
  • Different size of organisation different way to use Data Science.

    When it comes to data science and companies one of the big reasons of companies shying away from it is the disconnect organisations and data scientists have when it comes to the work both side priorities.

    Source: HOB
    8658
  • What value do a Data Scientists bring to power up an organisation?

    Data scientists are the only ones who could make sense out of all this gigabytes of data. Now there is data more than there was every before the so there is an immense need of skilled data scientists and data analysis's.

    Source: HOB
    10467
  • Why the first step of becoming Data Scientist should be Logistic Regression?

    Learn Logistic Regression first to become familiar with the pipeline and not being overwhelmed with fancy algorithms.

    Source: HOB
    8016
  • Is Data Science Degree Mandatory To Get Job in Data Scientist Field?

    Whether you need to pursue higher education for a job in data science really boils down to your existing skill set and specific goals.

    Source: HOB
    47517
  • 7 ways how Data visualization helps people put data in understandable context.

    Companies need to find a way through the techniques of data visualization and augmented analytics to put it to good use.

    Source: HOB
    8211
  • Understand the Role and Responsibility of Data Scientist and Data Analyst

    Data is Gold, The amount of data in the universe is growing at an exponential rate and it is the most important valuable resource not only for individual but for businesses as well. But to get the best value from data you need to be using the best techniques and the best technology.

    Source: HOB
    16371
  • Machine Learning trends in 2018 we should know about.

    Machine learning is increasingly being deployed in credit card purchase fraud detection, personalized advertising though pattern identification, personalized shopping/entertainment recommendations, to determine cab arrival times, pick-up locations, and finding routes on maps.

    Source: HOB
    8340
  • Know the Dual Roles of A Data Scientists?

    Data Scientists is gaining much attention in the age of analytics at the same point of time the role as a Data Engineers are equally important. Data Scientist filed is evolving and they plays a dual role in the organizations. Data engineers are responsible for the databases, data pipelines, and data services that are prerequisites to data analysis and data science.

    Source: HOB
    51651
  • Recommended Steps To Become A Successful Data Scientist

    In 2020, the world is expected to generate 50 times more data than in 2018 and Data Scientist has been voted as the "Sexiest Job" by Harvard Business Review, there is a significant growth in demand for data-savvy professionals in businesses, public enterprises, and several nonprofit organizations.

    Source: HOB
    17121
  • Preparing Data is a Big part of Big Data.

    A data scientists has to spend long hours of work in the preparation of the project that phase takes more time than they actually work the one that is shown in newspaper on TV or on the internet.

    Source: HOB
    6516
  • Polish Your Knowledge And Skills With These Data Science Programs

    Data Science is a very huge field and it allows fresher and experienced professionals to kick-start their career in this evolving field. Now HR of the companies are seeking for Data Scientists CV and ready to pay the highest salary. For this most of the people are struggling to get learn about data science.

    Source: HOB
    27834
  • 10 Most Popular Mobile Apps for Data Scientist and Data Analysts

    A collection of useful mobile applications that will help enhance your Popular data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more.

    Source: HOB
    25953
  • Do Data Scientists Really Deserve The Salary Growth as They Get Now?

    Data scientists who find themselves straying too far away from technical work may quickly find their skills out of date and unmarketable in today's climate.

    Source: HOB
    8847
  • 80+ Online Resources & Tools to Become a Data Scientist

    Harvard Business Review has regarded data scientist as the sexiest job of the 21st century. One of the best free web data scraping tool, we aggregated the resources and tools that you may need to become a data scientist.

    Source: HOB
    22383
  • Know How Data Scientists Accomplish Their Data Science Projects?

    If you want to become more data driven than you should have good understanding of all the languages and you're supposed to be master in Data Science field as well. Building the first data project is actually not that hard only you should know the basic steps and categorize them from raw data to building a machine learning model.

    Source: HOB
    13851
  • Want To Earn More Than Learn More of These Programming Languages: Python, R or SQL

    Data Scientist, it is one of the professions that have well paid bucks. But most of the time the paychecks comes down to the programming language know to a Data Scientist, while most of the data scientist have skills for all three languages and probably more, it becomes hard to conclude which pays more and has more value to it.

    Source: HOB
    66672
  • What Mistakes Are Usually Done By Organizations While Deploying Machine Learning?

    Machine learning offers organizations the potential to make more accurate data-driven decisions and to solve problems. Now organizations are leveraging the machine learning technology and this is not the magic it presents many of the same challenges as other analytics methods.

    Source: HOB
    19251
  • Why Wait For Interviews To Know The Commonly Found Weakness In Data Scientist

    Without recognizing our weak points, we'll never be able to overcome them. If modern job interviews of Data Scientist have taught us anything, it's that the correct answer to the question. "What's your biggest weakness" is "I work too hard." If we never admit our deficiencies, then we can't take the steps to address them.

    Source: HOB
    17955
  • As a Data Scientists using these 5 ingredients can be great in making your code.

    These tips should help data scientists work collaboratively to write good code and build models in a way that will be easier to productionize.

    Source: HOB
    13494
  • Big Data Analytics Pentagon Every Data Scientist needs to avoid.

    For Data Scientists, mistakes help them become sharper and discover new data trends, but that doesn't mean mistakes in Big Data Analytics are not sometimes quite problematic.

    Source: HOB
    10005
  • What Make Data Scientists More Focused Towards Their Roles And Responsibilities?

    Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.

    Source: HOB
    6390
  • What Make Data Scientists More Focused Towards Their Roles And Responsibilities?

    Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.

    Source: HOB
    8331
  • Why Python is the next level for Excel users?

    Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. However, making a dent in the enterprise space is huge challenge.

    Source: HOB
    15852
  • Top 5 Best Hackathon Platforms All Data Scientists Should Participate Here

    Hackathons have become a new and efficient way of hiring professionals in areas of data science, AI and machine learning, especially for talent-starved mid-sized to smaller companies.

    Source: HOB
    36897
  • Can I force you to invest in Data Science? Read this.

    Data has become massively complex and encompassing. Contextualising insights, obtained from a multitude of sources, requires an expert eye.

    Source: HOB
    8016
  • Top 10 Highest Paying Computer Science Jobs In 2019, Every Computer Science Eng. & Graduates Should Know

    There is no doubt that computer science is a very marketable course and talk of the town nowadays. Upon your graduation and computer science knowledge, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.

    Source: HOB
    37035
  • How Data Science Is Improving Higher Education to Develop Data Scientist Expert

    Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything from recruiting to engaging with students to budgeting.

    Source: HOB
    14568
  • If you are a Data Scientist These Books about R can be your Best Friend.

    Books are man's best friend, and for data scientists books on programming language are for sure a friend maybe not the best. This article covers a few books about the R programming language based on different categories.

    Source: HOB
    16245
  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

    Source: HOB
    11085
  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

    Source: HOB
    6513
  • What Skills Do You Need to Become a Consummate Data Scientist?

    "Today's world is drowning in data and starving for insights. Our digital lives have created an overwhelming flood of information. In the last 5 years, data scientists have come to the rescue by trying to make sense of it all. The sexy job in the next 10 years will be statisticians, and I'm not kidding." - Hal Varian, chief economist at Google

    Source: HOB
    33834
  • What the Future Business and Society Leaders need to understand about Data Science?

    The proverbial "Data Science Unicorn" who equally has mastered software development, data science, and business. That's like seeking Major League Baseball prospects who are both outstanding infielders and outstanding pitchers.

    Source: HOB
    8700
  • Is Really Data Scientists Are Looking For Good Opportunities?

    Data Scientists are leaving their jobs, And according to Financial Times it's correct that data scientists usually spend 1-2 hours a week to find good opportunities. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.

    Source: HOB
    11832
  • How to Learn Math for Data Science & ML, The Self-Starter Way

    Do you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.

    Source: HOB
    10977
  • A walk with the Progress of Data Scientist in the last century.

    At the root of every model been built, even the simplest, was a solid understanding and foundational rigor of statistical theory. When computing simple statistics or developing descriptive models, the math behind the model, and how this would impact the formation, application, and interpretation.

    Source: HOB
    8685
  • Data scientists Are key To Reaping IoT Value In 2019. How?

    The key to creating real business value from data gathered by the Internet of Things lies with including data scientists at every step of IoT implementation.

    Source: HOB
    10545
  • Top 4 Important Reasons Data Scientists are Motivated to Change Jobs

    The World could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years. So, the war for data science talent is real.

    Source: HOB
    24090
  • R Programming Language: 35 Job Interview Questions and Answers

    R programming language is data analysis software which is used by analysts, quants, statisticians, data scientists, and others.

    Source: HOB
    10107
  • The New Spy Tool For Fraud Detection: Machine Learning!!

    Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling. Fraud management has been painful for banking and commerce industry.

    Source: HOB
    32100
  • Should Clear With These Listed Points While Choosing Your Career As A "Data Science"

    Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn R or Python? What techniques to focus on? How much statistics to learn? Do I need to learn coding? These are some of the many questions you need to answer as part of your journey.

    Source: HOB
    34899
  • Know Which Tools Help Data Scientists To Improve Their Productivity?

    With the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.

    Source: HOB
    19254
  • 7 Most Important Key Skills Data Scientists Should Have In Their Mind & CV

    There are some key skills that go in a resume which make for a good and professional data scientist.

    Source: HOB
    47184
  • Where Are Data Scientists Earning The Most Salary?

    Data scientists are really on a roll right now. For a role that barely existed five years ago, the demand for qualified data scientists has reached a fever pitch in the tech world. As a result, data scientist salaries can be quite lucrative if you end up with the right company or in a top location.

    Source: HOB
    12126
  • Kick Start Your Career In Data Science At Early Stages!!

    To start your career in Data Science just after completing your higher studies, Finding companies that are willing to take a chance on a younger candidate will be an inevitable filter luckily, several great companies are willing to engage with undergraduates. I evaded this artificial barrier by interning as a data engineer, and working on infrastructure related to the data science team. This gave me valuable insights into the day-to-day efforts of a data scientist.

    Source: HOB
    17553
  • Python Opens The Door For Computer Programming

    Guido van Rossum, a Dutch computer scientist, set himself a Christmas project. Irked by shortcomings in other programming languages, he wanted to build his own. His principles were simple. First, it should be easy to read. Rather than sprawling over line-endings and being broken up by a tangle of curly braces, each chunk would be surrounded with indented white space. Second, it should let users create their own packages of special-purpose coding modules, which could then be made available to others to form the basis of new programs. Third, he wanted a short, unique and slightly mysterious name. He therefore called it after Monty Python, a British comedy group.

    Source: HOB
    81228
  • If You Are Thinking About Your Next Career Move, You Can Aim For These Technical Jobs!

    If you are a computer science graduate or someone who is thinking to make a career in software development world or an experienced programmer who is thinking about his next career move but not so sure which field you should go then you have a come to the right place.

    Source: HOB
    12669
  • We learn from our mistakes and what are the secrets data scientists learn from

    The job of the data scientist is solving problems. And some data scientists can't solve them. They either don't know how to, or are obsessed about the technology part of the craft and forget what the job is all about. Some get frustrated that "those business people" are asking them to do "simple trivial data tasks" while they're working on something "really important and complex".

    Source: HOB
    9720
  • Selecting Right Data Scientists Leads To Growth & Stagnation In Data Driven Business

    Something that many employers are not aware of is that there is more than one path to become a data scientist. Data science, after all, is an umbrella term that enompasses other fields, such as artificial intelligence, machine learning and statistics. Since the rise of popularity of data science many people try to promote themselves as a data scientist, whereas in the past they might have used a different term.

    Source: HOB
    10920
  • Demand for Data Science Engineers to Grow 40% by 2020; India Accounts <10% of Global Data Scientists

    According to a US Department of statistics report, demand for data science and data engineers is projected to grow around 40 percent by 2020. However, lack of talent in this space is likely to pose a bottleneck for companies to boost their revenue and small and start-up companies, in particular, will have to face a hard time competing with global majors.

    Source: HOB
    41457
  • Are Data Scientists & Front-End Developers Highest Paid Roles in Startups?

    Data scientists and front-end developers were the roles that received the maximum remuneration increases in startups in 2017. Both received an average salary increase of about 25% last year, compared to the year before, according to data shared by Bengaluru-based recruitment firm Belong.

    Source: HOB
    8859
  • Forget Data Scientists And Hire A Data Translator Instead: According To A McKinsey Survey

    A data translator is a conduit between data scientists and executive decision-makers. They are specifically skilled at understanding the business needs of an organization and are data savvy enough to be able to talk tech and distill it to others in the organization in an easy-to-understand manner.

    Source: HOB
    6816
  • How Cloud Will Elevate Data Science & Algorithms

    Ranked No. 1 overall as the best job in America by Glassdoor, data scientists have quickly risen in prominence and critical importance within organizations.

    Source: HOB
    8109
  • Nothing Is Persistent: Here The Job Description Of Data Scientist Is Revamping!

    Yet the task description of data scientists is ever-changing. the increase of computing, machine learning, and automatic information assortment means that the character of their work is shifting at a speedy pace. Time-intensive tasks, together with information assortment, have become less primary as they become machine-driven, giving thanks to additional strategic tasks.

    Source: HOB
    8973
  • Can Companies Use Data Science Tools Without Hiring A Data Scientist? 5 Ways

    Companies that fail to apply data science will be at a competitive disadvantage, according to Deloitte. Here's how to take advantage of new tools, staffing models, and training strategies.

    Source: HOB
    24555
  • Learn & Become Data Scientist Here My Data Science Horror Story

    Lessons I learned from a big text-to-speech model flub. There is an apocryphal story in text-to-speech circles about a researcher spending months or years refining their speech-generation model, making the speech samples sound better and better, day after day, only to discover that they'd accidentally been listening to the same audio file the entire time and had merely been attuning themselves to it. That story still sends shivers down my spine when it is retold.

    Source: HOB
    19923
  • New Drifts For Data Science Technology In The Coming Year

    Data science covers an unlimited network of topics below its umbrella as well as Deep learning, IoT, AI, and numerous others. It's a comprehensive consolidation of information illation, analysis, formula computation and technology to unravel multifarious business issues.

    Source: HOB
    21546
  • Data Science Is Easy To Learn, Is It So?

    Data Science is easy to learn or not? Can Anyone Be A Data Scientist? No, data science is not easy. It's just unshaped and not professionalized. By this I mean there are no standard sets of tools, no educational curricular, no certifying bodies, nor any specific career paths that lead to becoming a data scientist; yet all the essential bits are there and they're not easy to acquire, assemble or apply well. Yes, one can learn R and Hadoop and claim to be a data scientist, but that's far from the truth.

    Source: HOB
    13494
  • Beginners can go through books on Machine Learning

    Humans are granted with incredible power by machine learning. The task is run in an automated manner, it also makes our life comfortable and things are also improved at a large scale and it also has the power to create a tool who thinks well than the humans. This article is mainly to make you aware about the world which is beyond the video tutorials and blogs.

    Source: HOB
    10947
  • With These Books, Gain Knowledge About Statistical Learning For Data Scientist

    The selection process of data scientists at Google gives higher priority to candidates with strong background in statistics and mathematics. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science.

    Source: HOB
    10896
  • Guide for becoming a data engineer

    The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.

    Source: HOB
    11886
  • Some books which are not about data science but data scientists should go through it

    Over the past years, it was witnessed that data science is majorly used by everyone and there are rise and fall of some words like big data, business intelligence, analytics and these days artificial intelligence. Today there are many aspiring data scientists who are encouraged in learning the techniques of modeling. There are several books which will help a data scientist to get prepared philosophically.

    Source: HOB
    32466
  • Educations forthcoming: The artificial intelligence Nanodegree program

    Across many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.

    Source: HOB
    7392
  • The secret of 2019: How marketing will be enhanced?

    Four forces are deep at work altering the landscape for marketing in 2019 and beyond. The forces and the opportunities they represent are hidden in plain sight. Take privacy for example. Many still view privacy policies as a check-the-box legal exercise, yet consumer attitudes toward privacy and data collection have fundamentally changed.

    Source: HOB
    7287
  • Which Programming Language Should We Use On A Regular Basis?

    Data Analytics tools, latest technologies, and programming languages are required by data science which helps the data scientists to gain meaningful insights and value from the data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL, and R are the most popular programming languages. The most popular programming language was Python 83% used. 3 out of 4 data professionals recommended Data Scientist should learn Python programming language.

    Source: HOB
    120318
  • Development of Legal industry through Big Data

    Across many industries, big data is being used to drive decisions which are informed and better ones. But it is used in the legal industry is relatively new, mainly because most law firms are resistant to both change and new IT expenditures on unfamiliar initiatives.

    Source: HOB
    6975
  • 5 ways Machine Learning is reshaping business

    Machine Learning is the most powerful tool that businesses are using today. Software and machines have been developed which are not just performing operations for businesses but also enhancing and reshaping the business.

    Source: HOB
    11055
  • Courses which can enhance your skills in deep learning and artificial intelligence

    Here are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.

    Source: HOB
    7686
  • Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

    Data engineer may be a comparatively new position that is a hybrid of types between a data analyst and a data scientist. Whereas information scientists are reception making and standardization refined machine learning models and alternative kinds of analysis, data engineers shine at manipulating huge amounts of data and guaranteeing the complete huge data code stack will scale to support large workloads.

    Source: HOB
    24951
  • Avoid Mathematics: Learn Data Science and Machine Learning

    Today, the most desirable career option seems to be a data scientist and machine learning, as every individual either it is a college-going student or a professional is looking to switch their career onto data science.

    Source: HOB
    8937
  • Best online Data Science Courses To Learn & Get Job

    According to the report of U.S Bureau of Labor Statistics, the rise of Data Science needs will create 11.5M job openings by 2026.

    Source: HOB
    48339
  • Awesome online Data Science Courses To Learn Data Science & Get Job

    The need for Data Scientists and Data Analytics in India too is increasing enormously with a number of openings left vacant in the past due to lack of the skilled candidates, according to a report.

    Source: HOB
    171222
  • Drawbacks through which Analytics Strategy stopped working

    There are multiple reasons why your analytics strategy might not be working. Here is the overview of why is it so and how you can overcome them.

    Source: HOB
    8766
  • Get To Know Who is Actually A DATA SCIENTIST

    With only heavy statistical background professional have proper experience in this domain and recruiters should hire data scientists, who have a rich and strong background and capable to do their job. You can do data science without statistics, Data science without statistics is possible, even desirable. Data science is about automating these boring tasks. And automating much more advanced tasks.

    Source: HOB
    30111
  • Looking for Job, Growth, and Hike! Opt Data Science As Your Career

    This video will tell you about data scientists and jobs that fall in that category and how much money they make with the barrier of entry is. How many jobs there are? What the growth is for that category of a job?

    Source: HOB
    10104
  • What Are The Tech & Non-Tech Skills Required To Become A Data Scientist Expert In 2019?

    A data scientist is the #1 profession in America for 2019, according to Glassdoor. And that is not surprising, given the median base salary paid in the field is $123,000. Still, the data science job market is far from saturated, with an estimated shortage of 190,000 specialists in the US only.

    Source: HOB
    18102
  • Data science Jobs Up 29% This Year 2019, These Cities Pay More Salary For Data Scientist

    Demand for data scientists continues to grow, as average salaries for these positions often soar over $100,000, according to Indeed.

    Source: HOB
    22533
  • Get Implemented The Deep Learning Flow In Your Organisation

    Deep learning, or using massive amounts of data to build intelligent models, is a hot topic. Many companies, now seeing the benefits of AI materialize, have decided they need to get started on deep learning or risk getting left behind.

    Source: HOB
    8832
  • How Do We Separate Machine Learning, Artificial Intelligence and Deep Learning?

    When we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.

    Source: HOB
    8814
  • Highest Salary Pay For This 20 Years Old Programming Language Is Skyrocketing

    Java developers were among the workers who enjoyed the fastest-growing salaries in the US during 2018, according to recruitment site Glassdoor.

    Source: HOB
    159243
  • Artificial Intelligence Is Making us Data Hoarders! Is it true?

    Artificial intelligence is getting emphasized by machine learning and deep learning. We are benefited through these approaches, as these are heavy data approaches. But the question is? We are getting hooked on data!

    Source: HOB
    6732
  • Data Science Is The Pillar For An AI-Powered Enterprise

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise.

    Source: HOB
    8853
  • 10 Things Keep In Mind, You May Never Lose Your Data Science Job

    The data scientist role has been attracting quite a bit of attention and interest - but if you're considering a data science job in that field, make sure you know what you're taking on.

    Source: HOB
    11184
  • How To Tackle & Avoid Unrealistic Data Science Project Expectations: Top 8 Tricks

    Organizations are enthusiastic about hiring data scientists but must remember that data-driven projects will not solve every problem.

    Source: HOB
    6081
  • Huge Demand For Data Science Job Is Booming & Only Increasing Exponentially YoY

    Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace.

    Source: HOB
    9966
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.

    Source: HOB
    15606
  • Google's Launched First Machine Learning Program At Mills College For IT Students

    Google's machine learning program launched 11 Feb 2019 at Mills College in Oakland, California, and will train a cohort of future data scientists to help address the country's computer science workforce gap.

    Source: HOB
    16419
  • Why All Data Scientists Need To Understand The Business

    At the 2018 Grace Hopper Celebration, Angela Zutavern of AlixPartners explained how data scientists can provide the most value for their companies.

    Source: HOB
    4911
  • Few Recommended Videos: Learning of Data Science

    Enhance your career with these tutorials in data science, they will give you the whole concepts and the courses for beginners as well as data scientists.

    Source: HOB
    6837
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    13659
  • How Data Science Makes You The Future Leader

    There is too much explosion in the generation of the data in every major industry all around the world, and the demand of skilled workers if very much as they need professional workers to handle that huge data for solving certain problems and this profession has an unpredictable growth in recent times.

    Source: HOB
    7101
  • How Youths Future Is Getting Reshaped Through Big Data Analytics

    There are several trends in the field where there is a need to be familiar with big data. Big data is the data which consists of volumes greater than 1 petabyte, or 1 million gigabytes.

    Source: HOB
    6741
  • Machine Learning with R Programming Language Makes Your Career Balanced

    It seems that these days building a career is a bit dicey task and here you will see how to build a career in machine learning with R programming language.

    Source: HOB
    7761
  • How I Became A Cloud Engineer: A Cheat Sheet

    If you are interested in a career in cloud computing and don't know where to start, here's your guide for the best programming languages and skills to learn, interview questions, salaries, and more.

    Source: HOB
    25866
  • Businesses Should Have The Most Important Data Strategies

    The important asset of every business is data and it needs data strategy and here is the strategy for using the data in the best way for your business.

    Source: HOB
    5784
  • Blockchain Technology Appeals To The Data Scientists. How?

    In regards to bitcoin, blockchains implications to data science are quite transparent.

    Source: HOB
    6858
  • Challenges Faced in Data Science Careers

    It is noteworthy to know the major challenges that a Data scientist face.

    Source: HOB
    7410
  • How to Prepare yourself for a Data Scientist Interview?

    Facing an interview is really scary to many of the candidates.

    Source: HOB
    7188
  • Key Differences between a Data Scientist and a Data Analyst

    Working as a Data Scientist you will analyze data sets which are more complex and large in number as compared to a Data Analyst job.

    Source: HOB
    17943
  • 7 Tools used by Data Scientists

    A Data Scientist is an expert in using some tools which are very helpful in analyzing big data sets.

    Source: HOB
    18144
  • Data Scientist Intro, Jobs and Organizations

    A highly professional and skilled having the ability for collecting a large amount of data for analyzing and synthesizing the information into the actionable plans for many companies and organizations.

    Source: HOB
    7050
  • Which one is best, SAS or R?

    The Graphics supported by R and its statistical features are considered better than SAS.

    Source: HOB
    9645
  • Computer Scientist, Programmer, Hacker, and a Developer! Are They Different? Yes!

    We always hear from some or the other person about a developer, hacker, or a computer scientist.

    Source: HOB
    11430
  • Awesome Tips For Agile Data Science Research, All Data Scientist Should Know

    This post demonstrates how to bring maximum value in minimal time using agile methods in data science research.

    Source: HOB
    15663
  • Best online Data Science Courses

    Relevant skills, qualifications, and courses will prove good to you in developing a career in Data Science.

    Source: HOB
    9318
  • Do We Have Earning Opportunities Through Data Science Certifications?

    As we can see that Data Science is in trend and its the most desirable career in this century.

    Source: HOB
    7035
  • My simple ways to pace career in Data Science

    The role of a Data Scientist depends most on the organization he is working on.

    Source: HOB
    7881
  • Get your job in 90 days with some free Machine Learning Courses

    Here are some machine learning courses which will help you to begin your career at an earlier stage of learning.

    Source: HOB
    19824
  • How Tutors Can Teach Data Science Effectively?

    So here you can see some real-life instructors just to make sure that there is a proper effective environment of learning for students there.

    Source: HOB
    6360
  • Big Data Analytics Have Top Job Demand For Youths

    Big Data is a popular term you must familiar with it. Big Data is exactly what the name implies as data which consists of volumes greater than 1 petabyte, or 1 million gigabytes. This data is stored in servers and gives different results by using different analysis techniques based on the needs of the users.

    Source: HOB
    20868
  • Job Opportunities in the period of Artificial Intelligence

    If you are willing to go to the enterprises mainstream, artificial intelligence is the one.

    Source: HOB
    5853
  • In Data Science High Salary And Job Prospects Are Major Big Draws

    There is a tremendous amount of data which is generated by every business on a daily basis. The rise of the internet and the introduction of social media platforms have led to an additional spike in the amount of data generated.

    Source: HOB
    17433
  • A Beginner Must Avoid these Mistakes in Data Science

    The article draws attention to some of the common mistakes that every beginner commit while pacing career ahead in Data Science and must keep a regular check on that to help him avoid these silly mistakes.

    Source: HOB
    5850
  • Learn Computer Vision With These Top Class Books

    This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.

    Source: HOB
    7611
  • Some Free Online Courses Of Data Science Which Will Make Learning Easier

    Becoming a Data Scientist might be on your mind right now. Learn Data Science step by step through real Analytics examples.

    Source: HOB
    6672
  • Certification in Data Science will Make You a Good Data Scientist

    So Data science is a fast-growing industry in terms of knowledge and job.

    Source: HOB
    6111
  • Top 10 List of Coding Mistakes Always Made by Data Scientists

    Here is a list of 10 common mistakes that a senior data scientist - who is ranked in the top 1% on Stackoverflow for python coding and who works with a lot of (junior) data scientists - frequently sees.

    Source: HOB
    15669
  • Jobs More In Demand and Paying High for the Year 2019

    In tech, if you see the highest paying entry-level job is of data scientist, which has an average salary of $113,254.

    Source: HOB
    9102
  • Job Comparison of Data Engineer and Statistician

    In many of the cases, aspirants do not know about the responsibilities each position carries. I have discussed two such roles here, Statisticians and Data Engineer which are confused a lot by the aspirants.

    Source: HOB
    21729
  • Statistics Concepts Every Data Scientist Should Know

    Statistics plays a very important role in Data Science. The article draws out some statistical concepts that every Data Scientist should know.

    Source: HOB
    9324
  • Which are some of the most Frequently Asked questions in Data Science?

    This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.

    Source: HOB
    9519
  • Some Tech Sectors Which Are the Leading One in Providing Jobs In 2019

    Here are most in-demand tech jobs of 2019, according to recruiters and career site experts.

    Source: HOB
    6942
  • Why Augmented Analytics is the Future of Data and Analytics?

    The report by Gartner states Augmented Analytics as an approach that automates insights using machine learning and natural language generation.

    Source: HOB
    17016
  • Data Scientist is the Best Job in America for 2019

    Data Scientist stood out the best job in America for the fourth year in a row with Median Base Salary $108,000, Job Satisfaction rating 4.3 out of 5 and no. of job openings- 6510.

    Source: HOB
    15663
  • Will Automation take over the job of Data Scientists in Future?

    A recent report from Gartner predicts that 40% of Data Science tasks will become automated by 2020.

    Source: HOB
    10929
  • Crack Interviews- 7 Most Important Terms that Every Data Scientist Should Know

    The 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.

    Source: HOB
    7950
  • If Aspiring for a Data Science Career than SQL is Compulsory!

    Data Science is all about working with Data and SQL is the key to unlock the insights out of that Data.

    Source: HOB
    8256
  • What Exactly a Career in Data Science Is?

    Data Science is about using data for creating as much impact as possible for your company.

    Source: HOB
    17481
  • Develop your LinkedIn Profile today and get hired as a Data Scientist!

    Recruiters look for more in your Social profiles after taking your resume for approval and when the case is of a Data Scientist it becomes a necessity to check whether you are good at making networks or not.

    Source: HOB
    7344
  • Aspiring Data Scientists Must Master These 3 Skills!

    This article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.

    Source: HOB
    6669
  • How Do I find Insights out of Data? An Answer to the Bigger Question

    Data is everywhere. Data is flooding. Data is in huge quantity. But how do I find insights out of this data? This is the big question which everyone asks in this data-driven world.

    Source: HOB
    5538
  • The Most in Demand and Desired Skill of a Data Scientist

    Data Scientists require to possess a number of skills but the most in-demand skill of a Data Scientist is one that is required by every Data Scientist to possess and which is also the most sought after skill by any recruiter hiring for a Data Scientist.

    Source: HOB
    7503
  • Which are the Best Books on Reinforcement Learning

    Books are always the best sources to explore while learning a new thing. Reinforcement Learning has finds its huge applications in recent times with categories like Autonomous Driving, Computer Vision, Robotics, Education and many others. Here are some best books on Reinforcement Learning that you can easily find on Amazon

    Source: HOB
    28026
  • How a Business Analyst Differ from a Data Scientist

    A Business Analyst is often confused with a Data Scientist. So I have written this article to clear out the differences between the two with the help of clear bullet points.

    Source: HOB
    7176
  • Machine Learning Engineer is the Best job in the U.S for 2019 According to Indeed

    With an Average base salary of $146085, Machine Learning Engineer stood as the best job in the U.S FOR 2019 according to a recent report by Indeed.

    Source: HOB
    8559
  • Recommended: The ONE Online Resource that EVERY LEARNER in Data Science MUST FOLLOW

    As a learner in Data Science I also faced huge difficulty in deciding out the best online resource for me. It was frustrating at the starting and there were times when amid confusions I gave up.

    Source: HOB
    16875
  • Hiring at Google can give you a way to become a passionate Data Scientist

    Hiring at Google are on some particular basis, so here is a brief introduction to what Google looks for while hiring a Data Scientist. Through these tips, you can easily prepare yourself with the interview for a data scientist.

    Source: HOB
    8673
  • These 5 Skills Will Make You a Successful Data Analyst. Read to Know about.

    I have also been an enthusiast in the field and had explored many of the resources for the same during the starting of my career. Here, I have organized and presented these skills in a way so to provide you the best in brief.

    Source: HOB
    5889
  • Machine Learning beginners should access these Books, Courses, and Tutorials before entering this field

    Some books, courses, and tutorials of machine learning for beginners which can help them to begin their journey with in-depth knowledge.

    Source: HOB
    10848
  • Are you a Good Data Scientist? Check What differs a Good Data Scientist from a Bad one

    Sometimes its good to analyze oneself. Sometimes its good to know the reality that whether you are a good fit for your job or not. Make sure your communication is all not holding you back from being a Good Data Scientist.

    Source: HOB
    6429
  • Master Data Science with these Top 5 Books of Statistics

    While there are many books and resources available online to provide you some concepts you need in Statistics, I have come here with the best 5 books that I personally have found useful for me and several of my peers in Data Science. I am pretty sure they will help you a lot.

    Source: HOB
    14142
  • Beginners must follow these steps to start a career in Data Science

    Starting a career in Data Science can be intimidating but with the right decisions and right choices, a beginner can start a career in Data Science and soar to greater heights in the career.

    Source: HOB
    12690
  • Data science books to buy for a minimum price on Amazon for every beginner, professional and For Business

    Data Science books which will benefit beginners, professionals and business people also. You can easily avail these books on Amazon at a Discounted price.

    Source: HOB
    7926
  • The 7 Habits of Successful Data Scientists

    A Data Scientist is always a person with a win win approach.If he is not having a win win approach than he is not a Data Scientist. The article presents the 7 habits that every successful Data Scientist carries.

    Source: HOB
    46524
  • Learning TensorFlow is easy with these online Resources

    While there are many resources available online providing courses for TensorFlow picking a right one is always a difficult and confusing task for learners. To free you on that part, I have come here with the best online resources on TensorFlow that I have personally found useful.

    Source: HOB
    10989
  • Data Scientist must adore these Data Science Books

    Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.

    Source: HOB
    7779
  • Mistakes you must avoid in a Data Visualization. Read To know about.

    Visualizations are a great way to interpret your insights. Right visualizations deliver your insights clearly to your audience while a wrong method of visualization of your data sums all your efforts to zero that you had put up in finding relevant insights out of the data.

    Source: HOB
    5997
  • A complete Beginner's guide in Data Science

    For a beginner who want to start a career in Data Science, a lot of online platforms are available providing a bunch of information about the field and offering several courses but still there is some ambiguity that still lies in the mind of the aspirants about the careers, salaries, growth rate, skills, and the the various positions in Data Science.

    Source: HOB
    9258
  • Some Trendy Programming Languages which will help you Earn more like Java, PHP or .NET

    If we see, the demand for programming languages skills like Java and PHP is increasing day by day and the salary offered is also rising rapidly.

    Source: HOB
    7014
  • The Golden Phase of Learning Data Science and becoming a Data Scientist through Online Lectures

    Here you will find multiple websites offering you various courses in data science which have perks of learning and provide online lectures too as per your convenience.

    Source: HOB
    9000
  • Facing Rejection in Data Science Interviews? Follow these Guided steps to crack one.

    Diversion is the easiest option you could do after your first or many rejections in Data Science interviews but standing positively all over again and trying to crack the next interview in the next chance is the best thing you can ever do.

    Source: HOB
    8733
  • Top 5 Technical skills Every Data Scientist Should Master in 2019

    With regard to a Data Scientist apart from the soft skills and the business acumen technical skills also becomes a very important part.

    Source: HOB
    8034
  • Demand for Data Scientist has increased in 2019. Why?

    If you think that data science is not a job which needs proper skills, here are some reasons where you will see the fact.

    Source: HOB
    7221
  • In-demand Careers in Artificial Intelligence with their Skill-set

    If we will look at the career options than we will see career options in Artificial Intelligence are wide and an aspirant can found relatively large number of opportunities in Artificial Intelligence, provided he develop the right set of skills.

    Source: HOB
    8532
  • 5 ways Machine Learning is reshaping business

    Thanks to Machine Learning that businesses can now be reliable to Machine learning in knowing their customers, predicting their customer wants, assisting their customers and moving the business to the next level.

    Source: HOB
    9579
  • Which Global Cities are entertaining Data Scientist with a Good Salary Pay?

    Here this article will take you with the view of some cities which will entertain you with the highest pay packages as a role of a data scientist.

    Source: HOB
    7536
  • Questions asked in a Data Science Interview and Some Instant Resources to Crack it

    Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have a high impact.

    Source: HOB
    7272
  • Learn Hadoop, Spark and find out which is Best through these videos

    The rise of Big Data has raised the necessity of the organizations to adopt technologies which are good at processing big Data at higher execution speed. Hadoop and Spark are the big contenders in that.

    Source: HOB
    6942
  • Globally Data Science courses are provided with Approved Online Certificates and Online Lectures

    Here are some of the data science courses which are provided online globally with online certificates and lectures are provided according to your feasibility.

    Source: HOB
    7458
  • Big Data Analytics is the Best Career to Move on. Know How?

    Big Data is a buzz today and so Big Data Analytics! According to a piece of information from ResearchandMarkets.com, The big data analytics industry will reach a global market worth of $40.6 billion by 2023.

    Source: HOB
    17256
  • Best Resources for Learning Python: Start Programming Today!

    If we will look at the job description of the majority of the companies for Data Scientist or Machine Learning Engineer, Programming in Python will be the one skill set that will be common in every description. Because of so much demand for Python today, it has become essential for any enthusiast in Machine Learning or Data Science to be skilled in working in Python.

    Source: HOB
    9612
  • Jobs, Career, Pay-Scale, Profile, Skills of a Data Scientist in a one scale

    If you really want to know the demand of data science, this article will give you a complete check of who is a data scientist and the future jobs of a data scientist with a pay scale in the near future.

    Source: HOB
    6744
  • How will Data Science and Data Scientists in 2030 be like?

    According to International Data Corp. (IDC), worldwide revenue for big data and business analytics (BDA) solutions will reach by $260 billion in 2022, with a compound annual growth rate (CAGR) of 11.9 percent.

    Source: HOB
    24969
  • Tutorial and A Course which will help you to clarify the existence of Hadoop for Big Data problem

    If you want to know that what is Big data, what is Hadoop and how people came to know about Hadoop, this Hadoop tutorial will teach you the exact meaning of it.

    Source: HOB
    8418
  • How Beginner can gear up their Dream Data Science Project?

    Data Science Projects will help you a lot in developing these essential skills with an experience to work with large datasets.

    Source: HOB
    8871
  • In-depth study of Machine Learning Algorithms

    Many of us do not know that there is a proper list of machine learning algorithms. So here in this article, we will see some methods of using these algorithms.

    Source: HOB
    43974
  • Two famous different technology trends which are hard to talk one without the other: Big Data and IoT

    Here we breakdown how big data and IoT are different. Yet, despite their intimate connection, they are, in fact, two different technology trends.

    Source: HOB
    9069
  • 5 Reasons why the Majority of the Data Science Positions are vacant today

    The reason why many of the data scientists position remains vacant today in spite of a number of candidates applying for the position is the "lack of skills". According to a study conducted by Great Learning, 97,000 analytics and data science positions remain vacant in India due to the dearth of the skills.

    Source: HOB
    9108
  • Top companies paying a Higher Salary to Data Scientists in India

    Companies are throwing huge salaries at those having the skills to take on the positions of Data Analysts, Scientists, Engineers, etc.

    Source: HOB
    44607
  • 5 Data Science Blogs that Every Beginner and Professional should follow in Data Science

    Whether you are a Professional or a beginner, staying updated on the latest trends in your field is the one thing that you should daily. In this article, we have listed the top 5 Data Science Blogs that every beginner and Professional must follow.

    Source: HOB
    9927
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

    Source: HOB
    13488
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

    Source: HOB
    11472
  • If Developing a Career in Data Science, then you must Build concepts with these Books!

    There are a number of online resources that have emerged today to teach learners the various concepts and things related to Data Science that it is a bit confusing to get started with any.

    Source: HOB
    7539
  • Get the most meaningful insights out of your data with these tips.

    It doesn't matter how much data businesses collect, unless they are unable to find actionable insights out of it, all data collected is useless.

    Source: HOB
    8292
  • Books which will be highlighting the Algorithms of Machine Learning

    The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.

    Source: HOB
    7878
  • Hadoop is trending with a huge demand due to a few major reasons

    Big Data demands a cost-effective, innovative solution to store and analyze it. Hadoop is the answer to all Big Data requirements. So, let's explore why Hadoop is so important.

    Source: HOB
    8322
  • How to Begin and Enroll for Data Science Courses easily?

    Some books which will help data scientist to build their career with these famous Data Science courses.

    Source: HOB
    8031
  • What is the role of a data scientist in perspective of Artificial Intelligence and machine learning work?

    A data scientist is integral to an AI or ML process, in the sense that all of these projects are depending on big data or complex inputs. The data scientist is the essential careerist who knows how to work with data to produce results.

    Source: HOB
    10206
  • Top Online courses with certificates for every Data Scientist

    Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.

    Source: HOB
    10863
  • How you can crack Data Science Interview in a ONE go?

    Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have a high impact.

    Source: HOB
    7188
  • Which is better PyTorch or TensorFlow? Know the Deep Learning Frameworks

    Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations, and the execution pipeline.

    Source: HOB
    8757
  • A better research option for Jobs of Machine Learning and Artificial Intelligence on Indeed.com

    AI and Machine Learning job postings on Indeed rose 29.10% over the last year between May 2018 and May 2019.

    Source: HOB
    6342
  • Tutorial of Pytorch: A Deep Learning Model

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    6837
  • Some famous Articles for the Data Science Learners

    Here are some of the resources where you can have in-depth analysis and learning of data science through some famous articles.

    Source: HOB
    6261
  • Have a clear concept of Data Science with these Books

    Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

    Source: HOB
    9372
  • Data Scientist should turn on their mind towards some famous Books of Data Science

    Here are some books which will help you to boost your knowledge of data science and some of its fundamental tools.

    Source: HOB
    6792
  • How TensorFlow can assist you to create Chatbots?

    Here is the video of Chatbots using TensorFlow which will give you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.

    Source: HOB
    7803
  • Do we Need Higher Level Of Qualification to become a Data Scientist?

    There are also important skills and attributes that you'd be more likely to build up during that time in an industry setting.

    Source: HOB
    6216
  • A key to own a successful career in Data Science

    Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.

    Source: HOB
    13182
  • A key to own a successful career in Data Science

    Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.

    Source: HOB
    7083
  • Best Tools to develop Machine Learning Projects

    Best machine learning software without having software, the computer is an empty box as it is unable to perform its given task. Just like that also a human is helpless to develop a system. However, to develop a machine learning project there is several software or tools are available.

    Source: HOB
    12027
  • Top benefits of Hadoop Training

    This training and certification for professionals have opened up a world of opportunities as it will enable professionals to help in proper structuring and management of enterprise data.

    Source: HOB
    5823
  • Higher Salary opportunity for every Data Scientist in 2019

    This article having six factors that will positively influence the salary of a Data Scientist. So here are six factors through which you can easily optimize your Data Scientist salary.

    Source: HOB
    10143
  • Prime Job Roles and Resposibilities of a Data Scientist

    A data scientist will be responsible for designing and implementing various processes and different layouts for the intricate and large-scale datasets that are basically used for modeling, data mining, and various research purposes.

    Source: HOB
    7215
  • Introduction, Features, Demand, Average Salary, Skills. This is how Python became popular?

    This article will provide you some helpful information about the scope of Python professions in Information Technology. Let us begin with an overview of python.

    Source: HOB
    7812
  • Best Data Visualization Courses for Beginners

    Practical Data Visualization techniques, tips, and tricks for the aspiring analyst and people who want to start from the beginning in any field needing this critical 21st-century skill.

    Source: HOB
    15315
  • Go for Data Science career. It has multiple opportunities

    Gain new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills.

    Source: HOB
    6885
  • Top Bootcamps and Best Data Science Companies in India

    Data Science is one of the career paths that we've seen the Bootcamp model successfully applied to over the past couple of years.

    Source: HOB
    9720
  • Job Outlook may be open for every Data Scientist after learning these courses

    Some professional courses with a higher-level certificate for all the data scientist which may open the perspective of every beginner as well as professional.

    Source: HOB
    6777
  • Must have skills of storytelling if you want to become a successful Data Scientist

    Since the importance of data analytics is burgeoning day by day, hence the companies are appointing the sagacious professionals who will provide the company with the wider insights of the structured data.

    Source: HOB
    6486
  • Data Science degree adds value to your career. But how?

    If you are looking to start a new career that is in high demand, then you need to continue reading.

    Source: HOB
    10401
  • Data Science: The Climax of your future Career

    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

    Source: HOB
    7686
  • How Data Scientists are more successful in their jobs?

    Data scientists are crucial for interpreting data and solving complicated issues in business. Here's how they can use their skills most effectively.

    Source: HOB
    5535
  • Is Data Science a job paying you with the Highest Salary in 2019-2020?

    Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.

    Source: HOB
    6159
  • Can Big Data Analytics transmute youth's future?

    Big data analytics is all about how you store the huge amount of data and how you process it to get meaning out of it to draw conclusions and make the correct business decisions.

    Source: HOB
    6138
  • Data Science can't be done by Every individual. Is it so difficult?

    The high salary prospects and the job prospects of a data scientist are the major attractions for the new entrants or the freshers.

    Source: HOB
    5763
  • Will Python be around in the near future? Yes

    As a popular language of programming, Python is simple and easy to learn. It reduces the time of developing an application with its features of easy compilation and simple syntaxes.

    Source: HOB
    9369
  • Easy books of Data Science for professionals: Get hired in Big Companies

    Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts.

    Source: HOB
    6183
  • Some expected Big Data trends for the year 2019

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    4968
  • What are the loss and benefits of Data Science?

    Data Science is a combination of the following skills: Mathematics expertise, business/strategy acumen, and technology and hacking skills.

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  • The Evolution of a Data Scientist

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    6813
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    4746
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