Big Data Science with Apache Hadoop, Pig and Mahout

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Learn to execute Big Data Science Projects and deliver results using Apache Hadoop, MapReduce, Pig, Hive and Mahout

  • Lectures       51
  • Video            9.5 Hours
  • Skill Level    All Levels

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Description

Big Data Science with Apache Hadoop, Pig and Mahout – Course Description

“Data Science is the sexiest job of the 21st century – It has exciting work and incredible pay”.

Learning Data Science though is not an easy task. The field traverses through Computer Science, Programming, Information Theory, Statistics and Artificial Intelligence. College/University courses in this field are expensive. Becoming a Data Scientist through self-study is challenging since it requires going through multiple books, websites, searches and exercises and you will still end up feeling “not complete” at the end of it. So how do you acquire full-stack Data Science skills that will get you a and give you the confidence to execute it?

Big Data Science with Hadoop addresses the problem. This course provides extensive, end-to-end coverage of all activities performed in a Data Science project. If teaches application of the latest techniques in data acquisition, transformation and predictive analytics to solve real world business problems. The goal of this course is to teach practice rather than theory. Rather than deep dive into formula and derivations, it focuses on using existing libraries and tools to produce solutions. It also keeps things simple and easy to understand.

Through this course, we strive to make you fully equipped to become a developer who can execute full fledged Data Science projects. By taking this course, you will

  • Appreciate what Data Science really is
  • Understand the Data Science Life Cycle
  • Learn Apache Hadoop, Map Reduce, Pig, Mahout and Hive.
  • Apply Hadoop technologies for executing Data Science Projects
  • Master the application of Analytics and Machine Learning techniques

Big Data and Data Science go hand in hand and this is a great course to learn both !!Please note: This course only covers Hadoop components as-required for Data Science. It does not provide exhaustive coverage.

What are the requirements?

  • Linux experience
  • Java Programming experience preferred
  • SQL experience preferred

What am I going to get from this course?

  • Over 51 lectures and 9.5 hours of content!
  • Appreciate what Data Science really is
  • Understand the Data Science Life Cycle
  • Learn to use Apache Hadoop, Map Reduce, Pig and Mahout for executing Data Science projects
  • Master the application of Analytics and Machine Learning techniques

What is the target audience?

  • IT Professionals aspiring to be Data Scientists
  • Students who want to learn about Data Science domain
  • Statisticians and Project Managers who want to expand their horizon into Data Science
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