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  • Get started in data science: 5 steps you can take online for free

    From gaining the right skills to acing your first interview, these resources can help put you on the right track

    Source: PCworld
    6495
  • When open source opens doors: Jen followed her curiosity to a career in software engineering

    Software engineer and tech lead Jen Bourey has a lifetime love of learning to credit for her career path. "I've always been into math and science," she says. "I was one of those kids who was happy when I found a dead bug; I'd run to my room and put it under my microscope."

    Source: Google Career
    5226
  • Career prospects in machine learning: Gear up for the future

    The skill most required today is the ability to come up with fundamental innovations in machine learning, and implement them to solve practical problems

    Source: Hindustan Times
    7848
  • LinkedIn's hottest emerging IT careers: Machine learning, data science and big data

    Healthcare outpaced all other industries in job growth for freelancers while finishing second to staffing when it comes to non-freelancers.

    Source: Health Care IT News
    13395
  • 'Dehumanising, impenetrable, frustrating': the grim reality of job hunting in the age of AI

    The automation revolution has hit recruitment, with everything from facial expressions to vocal tone now analysed by algorithms and artificial intelligence. But what's the cost to workforce diversity - and workers themselves?

    Source: The Guardian
    6684
  • Jobs in Google: Latest openings for engineers, sales manager and more

    Google Jobs: The search giant is hiring for various positions in India and abroad. Know the eligibility criteria, job location and profile. Find out what all is needed to work with the biggest tech-giant in the world

    Source: Indian Express
    13104
  • 5 Things You Need to Know about Big Data

    We take a look at five things you need to know about Big Data. There's a lot of social media and general internet buzz regarding Big Data, but what exactly is it?

    Source: Kdnugget
    29556
  • Data Science and Machine Learning Interview Questions

    Ah the dreaded machine learning interview. You feel like you know everything... until you're tested on it! But it doesn't have to be this way.

    Source: HOB
    25107
  • 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
    7449
  • 45 Favorite Ideas To Activate Your Data Science Career From Super Data Science Podcast

    We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. In response, we rounded up 45 of our favorite ideas from our SuperDataScience podcast guests to (re)activate your career.

    Source: HOB
    3987
  • How To Get A Data Scientist Job at Your Dream Company - My Journey Here!

    I just started my new job at Airbnb as a data scientist a month ago, and I still feel that I'm too lucky to be here. Nobody knows how much I wanted to join this company.

    Source: HOB
    9678
  • Which Programming Languages in Demand & Earn The Highest Salaries?

    Coding is a prized skill in today's business environment and software developers proficient in multiple programming languages are highly valued by organizations for their ability to help businesses go digital and carry out vital business functions.

    Source: HOB
    447900
  • Why All Employees Need Data & Data Science Skills In 2019 (And Beyond)

    Data & Data Science is not just for the analytics team anymore. While data scientists are still in demand, the newest conundrum facing today's organizations concerns the rest of the staff. Data isn't used in a vacuum: it touches many other roles, and those employees need the literacy to handle it effectively.

    Source: HOB
    32346
  • The One Most Important Theorem Every Data Scientist Should Know

    This article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.

    Source: HOB
    13605
  • How To Go Into Data Science And Become Data Scientist Expert?

    Ultimate Q & A for Aspiring Data Scientists with Serious Guides. So...you want to become a data scientist? Cool. You're a self-motivated person who is very passionate about data science and bringing values to companies by solving complex problems.

    Source: HOB
    15033
  • Are You Trying To Change Careers or Get Your Start in Data Science?

    If you're someone who is looking to make a move to data science, there are some ways that you can polish your approach to get noticed during your job search.

    Source: HOB
    4704
  • 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
    5430
  • How I Became A Software Developer Expert & Now CTO

    Today I would like to share some thoughts on ways software developers can improve their professional skills and become better at their work. The topics raised here are universal and not specific to any technology stack.

    Source: HOB
    9804
  • If You Are A Fresher Than Kickstart Your Career With The Most Popular Programming Language-PYTHON

    Python is the programming language amongst all which is gaining popularity the most. People interest shifted towards Python and all are learning this language. I learned HTML and CSS however, currently, I'm trying to find a language that I will use for more than internet development.

    Source: HOB
    4593
  • An Easy Guide For Software Engineering Survival

    I encountered the realities of being a software engineer and had to acquire many skills that I didn't know I needed. Looking back, it would surely have been nice to know the things I know now.

    Source: HOB
    15429
  • The Index Funds Of A Software Developer's Career To Pick Up Tech Skills

    A select few professional domains in the modern world retain the luxury of having a somewhat predictable future. Software development is certainly not one of them.

    Source: HOB
    3255
  • What Is the Difference Between Computer Science and Software Engineering?

    It is common in the software domain to hear terms such as computer scientist, developer, programmer, software engineer, computer engineer and many more. From my experience, I have noticed there are two terms that people often confuse

    Source: HOB
    26706
  • 6 Things To Deal With The Great Data Scientist Shortage

    Rather than wait for want ads to go unfilled, organizations should rethink, retrain, reorganize and reach out to fill the data science talent gap.

    Source: HOB
    5208
  • What Skills Should Have Data Scientist To Get Hired In 2019

    To attract data science talent, you need a sound data strategy and an established data-driven environment in which data scientists can have an impact and do meaningful work.

    Source: HOB
    5787
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