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