Statistics Using Python
This course is a compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include descriptive statistics, probability, inference, correlation, and regression. The course also exposes students to basic Python programming for use in statistics.
What you'll learn
- You will learn to calculate descriptive statistics and generate basic visualizations using Python; explain principles of probability and derive measures related to probability functions; communicate the uncertainty in statistical estimates; and perform regression analysis and distinguish between correlation and causation.
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| Rating | Not enough ratings |
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| Length | 8 weeks |
| Effort | 8 weeks, 12–15 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $75 |
| From | The University of Wisconsin-Madison via edX |
| Instructor | Cody Baldwin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics |
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| Rating | Not enough ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 12–15 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $75 |
| From | The University of Wisconsin-Madison via edX |
| Instructor | Cody Baldwin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics |
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