Big Data Analytics (Archived)

Is the thought of writing code limiting your interest to visualize and analyzing big data efficiently? If so, the Big Data Analytics learning path offers a foundation of both methods and tools to go beyond coding and equip you to achieve the results you require using Big Data.

About this learning path

Note: As of 2018-04-24, this learning path is now archived and a badge will no longer be issued for the completion of the learning path. You can still achieve certificates and badges for the individual courses, if available.

Gauges help us to determine how to address or process a concept on any given topic. It changes our interaction with the concept or item as it grows. Big Data is big, and it holds a number of possibilities for humans to learn about what we do, what we will do, and how we did it in the past, from the level of the individual to the mass.

This learning path is for those who are interested in becoming familiar with the concept of big data to answer these types of questions. This path introduces the Big Data Concept and its infinite possibilities, then it looks at using familiar spreadsheet environments to start asking questions, and then moves to introducing tools sets, specifically Apache Spark for effective and timely processing to get you the answers you need.

Come along and start your journey to receiving the following badges: Big Data Analytics – Level 1 and Big Data Analytics – Level 2.

Courses

Big Data 101

Effort: 3 Hours
Level: Beginner
Available in: English
About the course

How big is big data? What does Apache Hadoop have to do with big data? In this course you will learn the basic big data concepts and terminology, and how big data isn't just about the size of data.

Spark Overview for Scala Analytics

Effort: 7 hours
Level: Beginner
Available in: English
About the course

On-line reviews show the preference to use Scala with Spark vs Python for enterprise scale big data analytical platforms. Why is that? This question will be addressed in this course as well as many others that will guide your use of this program to address your need for speed.

Complete Big Data Analytics (Archived) Learning path

Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.