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Exercise Files for Statistical Analysis in Data Science Using Python

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Statistical Analysis in Data Science Using Python

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

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