These are the exercise files used for Statistical Analysis in Data Science Using Python course.
The course outline can be found in
https://www.tertiarycourses.com.sg/statistical-data-science-python.html
https://www.tertiarycourses.com.my/statistical-analysis-in-data-science-python-malaysia.html
Module 1 Descriptive Statistics
- Mean & Medium
- Standard Deviation & Variance
- Percentiles
- Summary
Module 2: Data Visualization with Seaborn
- What is Seaborn
- Visualizing Statistical Relationships with Scatter Plot
- Visualizing Categorical Data with Bar Plot
- Visualizing Correlation with Pair Plot and Heatmap
- Visualizing Linear Relationships with Regression
Module 3 Hypothesis Testing with SciPy
- What is Hypothesis Testing
- T Statistics
- Student's t-test
Module 4 Statistical Modeling with StatsModel
- What is Statistical Modeling
- Statistical Modeling with StatsModel
- Goodness of Fit
- ANOVA
Module 5 Bayesian Inference with PyMC3
- Bayesian Inference
- Using PyMC3 for Bayesian Inference