Wolfram U

Cause or Correlation?

  • Interactive Course
  • 3 h
  • Intermediate
  • 2 Certifications

Estimated Time: 3 h

Course Level: Intermediate

Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and statistics (mean, median).

Certification Levels: CompletionLevel 1

Summary

Knowing how one variable affects another is important in many instances in real life, from medical diagnoses to environmental impacts or financial trends. In this CBM Computational Thinking module, you will learn about dependent connections between variables, the possible cause(s) for such dependencies and how these are often misused in the media to make claims that are incorrect—particularly about how adopting one behaviour can cause something positive or negative to happen.

Featured Products & Technologies: Wolfram Language

You'll Learn To

  • Solve a real problem using the computational thinking process
  • Define the problem precisely by using the terms correlation, dependence and cause correctly
  • Choose and apply real tools to calculate correlation coefficients
  • Interpret the results of the analysis and present an opinion based upon evidence
  • Deploy your programs to the web
  • Be wary of media reports that state “Doing X causes Y!”

Certifications Available

  • Completion Certificate

    Certify your completion of this computational thinking module by successfully completing activities and answering the questions in each chapter.

  • Level 1 Certification

    Once you have completed the module, take the exam to certify your proficiency in computational thinking.

    More Info

About This Interactive Course

This self-study resource is part of the Computer-Based Maths (CBM) project and works in the Wolfram Cloud. It's free and easy to get started using the Wolfram Cloud—sign in with your Wolfram ID or create one. No plan is required. This interactive course includes video lessons, computational activities, auto-graded questions and a project.