Implementing Predictive Solutions with Spark in HDInsight Course Outline
This course is part of the Microsoft Professional Program Certificate in Data Science and part of the Microsoft Azure HDInsight Big Data Analyst XSeries.
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.
Approximately 6 weeks assuming 4 hours of effort per week.
What you'll learn
• 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
Introduction to Data Science with Spark
Get started with Spark clusters in Azure HDInsight, and use Spark to run Python or Scala code to work with data.
Getting Started with Machine Learning
Learn how to build classification and regression models using the Spark ML library.
Evaluating Machine Learning Models
Learn how to evaluate supervised learning models, and how to optimize model parameters.
Recommenders and Unsupervised Models
Learn how to build recommenders and clustering models using Spark ML.
View outline in Word
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