GitHub - tertiarycourses/PythonStatisticsTraining: Exercise Files for Statistical Analysis in Data Science Using Python

Statistical Analysis in Data Science Using Python

by Tertiary Infotech Pte. Ltd

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