The ability to decide whether group A is different, either better or worse, than group B is an important technique within computational thinking and data science. It is useful in many areas, from medical experiments to sales figures to environmental changes. This short course introduces you to how problems like this can be tackled, first on small datasets, then on a national scale, comparing results to published reports.
You'll Learn To
Solve a real problem using the computational thinking process
Define the problem precisely by removing unnecessary complexity
Choose and apply real tools to analyse data
Interpret the results of the analysis and present an opinion based upon evidence
Appreciate the effect that sample size has on the variation in results
Use box-and-whisker charts to compare two datasets
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 full interactive course includes video reviews, chapter quizzes and an independent project. A certificate of course completion is available (further certification will be available in the future).
First time with our Computational Thinking modules? Please watch the video.