Happiness of People by Country: Computer-Based Maths Module Interactive classroom activity reviews statistics to identify levels of happiness in populations by country. Covers finding reliable data, analysis, data visualization, describing final results.
Summary
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 Computational Thinking module, 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.
Featured Products & Technologies: Wolfram Language
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
Summary
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 Computational Thinking module, 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.
Featured Products & Technologies: Wolfram Language
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
