Advanced Analytics and Machine Learning with Hadoop – Statistics.Com

In this online course, you will expand on the topics from the Introduction to Analytics using Hadoop course, and introduce statisticians and data analysts to higher-order tools in the Hadoop Ecosystem

In this course, you will learn about:

• The software components of the Hadoop Ecosystem
• Data loading, warehousing and manipulation with HBase, Hive, and Sqoop
• Data aggregation and designing data workflows with Pig and Cascading
• Machine learning and data mining with Mahout

Course Program:

• Week 1: The Hadoop Ecosystem and Data Warehousing and Manipulation pt. 1
• Week 2: Data Warehousing and Manipulation pt. 2
• Week 3: Higher Order Hadoop Programming
• Week 4: Machine Learning and Data Mining

Important Date:

January 23, 2015 to February 20, 2015

Duration:

4 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.

Fees:

INR 32,940 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Data scientists and statisticians who are familiar with Hadoop fundamentals, have programming experience, and who want to learn how to process and analyze large data sets with Hadoop’s distributing computing capability and ecosystem components

Pre-requisite:

You needed the background of:

• Analytics with Hadoop or equivalent familiarity with Hadoop and its core components
• Strong understanding of MapReduce and MapReduce API
• Intermediate familiarity with Java preferred
• “SQL and R
• Basic knowledge of operating systems (UNIX/Linux)

• Apache Hadoop
• Java
• HBase
• Hive
• Sqoop
• MapReduce
• R

• Jenny Kim