Happiness, like many other subjective measures, is difficult to define. But with careful assumptions, many governments and businesses can analyse subjective data and use it to improve future growth or the lives of their citizens. In this course, you will learn how the assumptions are made and how data scientists analyse reliable sources of data, ultimately finding a measure of how happy people are in your country.
You'll Learn To
Solve a real problem using the computational thinking process
Make assumptions and define the problem precisely
Choose and apply real tools to find answers
Interpret the results of the analysis and present an opinion based upon evidence
Assess the reliability of primary and secondary sources of data
Convert subjective data into quantifiable measures
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.