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Implementing Predictive Analytics with Spark in Azure HDInsight

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About this course

This course is part of the Microsoft Professional Program Certificate in Data Science and part of the Microsoft Professional Program Certificate in Big Data.

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.

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

Syllabus

Introduction to Data Science with Spark
Getting Started with Spark
Exploring Data with Spark
Further Reading
Lab
Review

Getting Started with Machine Learning
Introduction to Machine Learning in Spark
Pipelines and Text Analysis
Further Reading
Lab

Perfect Your Analytics Story
Leverage Visual Science
Analytics Story Examples
Lab
Review

Evaluating and Optimizing Machine Learning Models
Evaluating Machine Learning Models
Optimizing Model Parameters
Further Reading
Lab
Review

Recommenders and Unsupervised Models
Recommenders
Clustering
Further Reading
Lab
Review

Final Exam and Post-Course Survey
Final Exam

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