The Course

Compelling Case Studies Based on Real Use Cases

Case Study #1

You have received over 1000 resumes for the job. how can you use data science to efficiently shortlist the candidates?

Case Study #2

Students are dropping out of the high school music program unexpectedly. what is causing students to churn (drop out)?

Case Study #3

Drake and Justin Bieber are often associated with the city of Toronto. How can tweets help us to understand brand associations? How can we quantify and visualize sentiment?

The Concepts, Tools and Data Sets

The Concepts

  • Data mining
  • Data visualization
  • Predictive analytics
  • Text analytics

The Tools

  • Data scientist workbench
  • Big data university
  • Watson analytics
  • RStudio

The Data Sets

  • Open data
  • Student-generated data
  • Twitter
  • Un open data sets

Frequently Asked Questions

When does the course start and finish?

This is self-paced learning course of 110 hours in duration. You are free to take this course based on your need.

Can I have face to face interaction with an Instructor?

Yes, students may have face to face interactions via video conferencing software. Instructors may also arrange group interactions with multiple students.

You are free to contact the instructor at any time via our direct messaging system from the member’s area.

Does this course have any certificates?

Yes - the IDC4U follows Ministry of Education guidelines and students that complete the course successfully may receive a high school credit towards their high school diploma. We are currently under review for the ability to issue a high school credit.

Get Started Now