Implementing Predictive Analytics with Spark in Azure HDInsight

Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions.
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 24 Hours

    Course Duration
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Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions.

About this course:

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark).Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. This course also helps in the preparation for the Microsoft 70-475: Designing and Implementing Big Data Analytics Solutions certification exam.

The average salary for Data Analyst with Apache Spark skills is $63,882 per year.

Course Objective:

After completing this course, students will be able to:

  • Using Spark to explore data and prepare for modeling
  • Build supervised machine learning models
  • Evaluate and optimize models
  • Build recommenders and unsupervised machine learning models

Audience:

This course is intended for

  • Big Data Professionals

Prerequisites:

  • Familiarity with Azure HDInsight.
  • Familiarity with databases and SQL.
  • Some programming experience.
  • A willingness to learn actively in a self-paced manner.

Suggested prerequisites courses:

Career path:

Cloud Computing Career Path…

More Information
Brand Microsoft
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 24 Hours
Language English
VPA Eligible VPA Eligible
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