Get started on your journey to building Big Data solutions.
About this course
Learn what it takes to build Big Data analytics solutions.
This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you'll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios.
What you'll learn
- How the Microsoft Big Data curriculum works
- An introduction to data formats, technologies, and techniques
- Fundamentals of Databases
- Basic principles for working with Big Data
Unlock Value in Massive Datasets. Learn fundamental big data methods in six straightforward courses.
About this Specialization
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig, and Hive. By following along with the provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you'll apply the skills you learned to do basic analyses of big data.
Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
About this course
Organizations now have access to massive amounts of data and it's influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organizational change and the key challenges organizations face when trying to analyze massive data sets.
You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.
By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.
What you will learn
- How to design algorithms
- Understand fundamental programming concepts including data abstraction, storage, and structures
- Understand computational thinking which includes decomposition, pattern recognition, and abstraction
- Data-driven problem and algorithm design for big data
- Interpretation of data representation and analysis
- Understand key mathematical concepts, including dimension reduction and Bayesian models
- How to use analytical tools such as R and Java
Our Big Data and Data Science master's course lets you gain proficiency in Big Data and Data Science. You will work on real-world projects in Hadoop Dev, Admin, Test and Analysis, Apache Spark, Scala, AWS, Tableau, Artificial Intelligence, Deep Learning, Python for Data Science, SAS, R, Splunk Developer and Admin, NoSQL databases and more. In this program, we will cover 20 courses and 56 industry-based projects.
Intellipaat's Big Data and Data Science master's course will provide you with in-depth knowledge on designing, developing and deploying Data Science and Big Data applications in the real world, along with performance tuning of the application. This course will make you a Big Data and Data Science architect, and by the end of the course you will have expertise on Hadoop Developer, Administration, testing and analysis modules, working with real-time analytics, statistical computing, parsing machine-generated data, creating NoSQL applications and finally the domain of Deep Learning in Artificial Intelligence. This program is specially designed by industry experts, and you will get 20 courses with 56 Industry-based projects.