Statistical Analysis in Python
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What you'll learn
This course includes
- 7.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 12 lessons • 7.5 hours of video
Statistical Analysis in Python
12 lessons
• 7.5 hours
Statistical Analysis in Python
12 lessons
• 7.5 hours
- 359: Introduction to Statistical Analysis in Python 39:26
- 360: Descriptive Statistics and Data Visualization Descriptive Statistics 58:07
- 361 - Understanding Data Distributions (Statistical Analysis in Python: Tutorial 3) 43:29
- 362 - Comparing Two Groups (Statistical Analysis in Python: Tutorial 4) 52:45
- 363 Comparing Two Groups (Non Parametric) 45:06
- 363b - Time Series Statistical Comparison: When Data Points Aren't Independent 31:06
- 366 - Partial Correlation in Python: Controlling for Confounding Variables (Part 2/4) 29:40
- 367 - Advanced Correlation Analysis in Python: Confidence Intervals & Statistical Testing (Part 3/4) 31:50
- 366b - Testing Controversial Health Claims: A Step-by-Step Data Analysis Using Python 30:35
- 368 - Correlation vs Causation in Python: Understanding the Critical Difference (Part 4/4) 19:33
- 370 - Principal Component Analysis (PCA): Mastering Dimensionality Reduction & Visualization 40:45
- Causal Inference for Data Scientists: Moving from Association to Intervention (376) 51:59
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