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February 23, 2018 06:00
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Math for Data Science
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These courses can help lay the foundation for quantitative thinking. | |
1. Introduction to Mathematical Thinking | |
School: Stanford | |
Platform: Coursera | |
Instructor: Keith Devlin | |
Description excerpt: [A] key feature of mathematical thinking is thinking outside-the-box | |
- a valuable ability in today's world. This course helps to develop that crucial way of thinking. | |
2.Math is Everywhere: Applications of Finite Math | |
School: Davidson College | |
Platform: Udemy | |
Instructor: Tim Chartier | |
Description excerpt: Computer fonts, Angry Birds, March Madness, | |
and Google - sound like fun? Indeed, finite math is engaging and influences the world around us. | |
3. Model Thinking | |
School: University of Michigan | |
Platform: Coursera | |
Instructor: Scott E. Page | |
Description excerpt: Models improve our abilities to make accurate forecasts. | |
They help us make better decisions and adopt more effective strategies. | |
They even can improve our ability to design institutions and procedures. | |
4. Introduction to Logic | |
School: Stanford | |
Platform: Coursera | |
Instructor: Michael Genesereth |
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