Algebra and Differential Calculus for Data Science
Expressway to Data Science: Essential Math,
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com
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| Rating | Not enough ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 Weeks of study |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $49 |
| From | University of Colorado Boulder via Coursera |
| Instructor | Jane Wall |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Math And Logic Probability And Statistics |
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| Rating | Not enough ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 Weeks of study |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $49 |
| From | University of Colorado Boulder via Coursera |
| Instructor | Jane Wall |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Mathematics |
| Tags | Data Science Math And Logic Probability And Statistics |
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