Duration
6 weeks
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. You will learn how to work with Scala or Python to cleanse and transform data, build machine learning models with Spark MLlib (the machine learning library in Spark), and create real-time machine learning solutions using Spark Streaming. Plus, find out how to use R Server on Spark to work with data at scale in the R language.
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. It is possible to complete the course and earn a certificate without completing the hands-on practices.
What you'll learn
- Using Spark to work with data
- Preprocessing data for machine learning in Spark
- Building machine learning models in Spark
- Using R at scale with R Server on Spark.
Institution: Microsoft
Subject: Intermediate
Level: Computer Science
Languages: English
Video Transcripts: English
Course Syllabus
Introduction to Data Science and Machine LearningAn introduction to the core concepts of data science and machine learning.
Using Spark Machine LearningLearn about Machine Learning support in Spark clusters, and how to implement a predictive solution using Spark.
Real-time machine Learning with SparkLearn how to build real-time machine learning solutions with Spark.
Using R with Hadoop in HDInsightLearn how to use R to work with data and build models by leveraging Hadoop in HDInsight.
This is a version-specific reference outline. Confirm the current syllabus and delivery arrangements with EIEIO.