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Course Details

 Course Code: DS0110EN

 Audience: Policy makers and working professionals who are new to data science, open data and R

 Course Level: Beginner

 Time to Complete: 3 hours

 Learning Path: Data Science Foundations

About the Course

This course is for policymakers and working professionals who are new to data science, open data, and the R programming language. Learn common buzzwords and jargons used in Data Science and work through with hands-on experience at labs visualizing and analyzing Open Data from the National Energy Board of Canada.

Course Syllabus

  • What is Data Science?
  • Buzzwords in Data Science
  • What is Open Data?
  • Benefits of Open Data
  • Open Government Analytics
  • Intro to R
  • RStudio Cloud
  • Create an RStudio Cloud Account
  • RScript Instructions
  • Optional Video 33:50 - RStudio Cloud Video Instruction
  • Access R with Cognitive Class Labs
  • What is the NEB?
  • NEB Data Sets
  • Data Visualization Theory
  • Lab 1: Data Visualization with NEB Data
  • The Pyramid Principal
  • Case Study 2: Data Analysis with NEB Data

Recommended Existing Skills

  • None


The minimum passing mark for the course is 70%, with the review questions worth 40% and the final exam worth 60% of the course mark.

You have 1 attempt to take the exam with multiple attempts per question.


  • None

Course Staff

Fireside Analytics Inc

Fireside Analytics Inc

Shingai Manjengwa (@Tjido) is the CEO of Fireside Analytics Inc., an ed-tech start-up that develops customized online and in-person courses on digital literacy, data science, data visualization and coding to high school students, policymakers, senior executives, small business owners and working professionals. The Data Science courses by Fireside Analytics have over 300,000 registered learners on platforms like IBMs and Coursera.

An IBM Influencer and Author, Shingai has a Master’s in Business Analytics from NYU Stern. Shingai is the founder of Fireside Analytics Academy, a registered private high school (BSID: 886528) that teaches students to solve problems with data.