At a Glance

Data visualization is the presentation of data with graphics. It's a way to summarize your findings and display it in a form that facilitates interpretation and can help in identifying patterns or trends. In this course you will learn how to create beautiful graphics and charts, customizing the look and feel of them as you wish.

What will I get after passing this course?

• You will receive a completion certificate.
• You will receive the IBM Explorer - Big Data Foundations badge.

Course Syllabus

• Lesson 1 - Big Data - Beyond the Hype
• Big Data Skills and Sources of Big Data
• Big Data Adoption
• Lesson 2 - What is Big Data?
• Characteristics of Big Data - The Four V's
• Understanding Big Data with Examples
• Lesson 3 - The Big Data Platform
• Key aspects of a Big Data Platform
• Governance for Big Data
• Lesson 4 - Five High Value Big Data Use Cases
• Overview of High Value Big Data Use Cases
• Examples of High Value Big Data Use Cases
• Lesson 5 - Technical Details of Big Data Components
• Text Analytics and Streams
• Streams, Cloud and Big Data

General Information

• This course is free.
• It is self-paced.
• It can be taken at any time.
• It can be taken as many times as you wish.

Recommended skills prior to taking this course

• None

Grading scheme

• The minimum passing mark for the course is 60%, where the review questions are worth 40% and the final exam is worth 60% of the course mark.
• You have 1 attempt to take the exam with multiple attempts per question.

Course Staff

Glen R.J. Mules

Glen R.J. Mules is a Senior Instructor and Principal Consultant with IBM Information Management World-Wide Education and works from New Rochelle, NY. Glen joined IBM in 2001 as a result of IBM's acquisition of Informix Software. He has worked at IBM, and previously at Informix Software, as an instructor, a course developer, and in the enablement of instructors worldwide. He teaches courses in BigData (BigInsights and Streams), Optim, Guardium, and DB2, and Informix databases. He has a BSc in Mathematics from the University of Adelaide, South Australia; an MSc in Computer Science from the University of Birmingham, England; and has just completed a Ph.D. in Education (Educational Technology) at Walden University. His early work life was as a high school teacher in Australia. In the 1970s he designed, programmed, and managed banking systems in Manhattan and Boston. In the 1980's he was a VP in Electronic Payments for Bank of America in San Francisco and New York. In the early 1990's he was an EVP in Marketing for a software development company and chaired the ANSI X12C Standards Committee on Data Security for Electronic Data Interchange (EDI).