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Data Analysis, Analytics, and Machine Learning Curriculum

Course Title Duration Description
Big Data, Hadoop, and Analytics
4 This course is designed to introduce and guide the user through the three phases associated with big data - obtaining it, processing it, and analyzing it. The Introduction to Big Data module explains what big data is, its attributes and how organizations can benefit from it. It also provides a snapshot of job roles, and available certification and training, in order to forge a career in big data. The Hadoop Fundamentals module explains how the Apache Hadoop environment is designed to store and process big data, and introduces Apache products such as MapReduce, YARN, Spark and Tez, while the Basic Analytics module provides an overview of different types of analytics and describes how organizations can benefit from them.
Machine Learning and Spark 4 This course is designed for those working with organizations looking to implement Machine Learning solutions. It is also of benefit for those looking to implement Spark on z/OS. It begins by explaining what Machine Learning is, how it works, and how organizations can benefit from it. The course then focuses on IBM's Machine Learning for z/OS solution, describing its features and components. In the final course, a description of Apache Spark and how it is used in a Machine Learning solution on a z/OS system, is presented.

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