Data Analysis (A.Y. 2023/24)

Textbooks

Descriptive statistics and hypothesis testing

• [PSES - Ch. 2,7,8] Introduction to Probability and Statistics for Engineers and Scientists, 5th ed., S. Ross, Academic Press, 2014

Linear regression and classification

• [ISL - Ch. 1-4] An Introduction to Statistical Learning: with Applications in Python, 1st ed., G. James, D. Witten, T. Hastie, R. Tibshirani, J. Taylor, Springer, 2023.

• [ISL - Ch. 1-4] Book website

Python programming

• [PDA] Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter, W. McKinney, O'Reilly, 2022

Further readings

• [AAM] Understanding and Choosing the Right Probability Distributions, in Advanced Analytical Models, J. Mun Ed., Wiley, 2012

• [SAGE] Introduction to Hypothesis Testing (Ch. 8), G.J. Privitera, SAGE, 2023

• [HT] Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions, Ch. 1-2 available here, J. Frost, Statistics By Jim Publishing, 2020

• [Tutor] The Statistics Tutor's Quick Guide to Commonly Used Statistical Tests, Ellen Marshall, University of Sheffield

Online resources

Python

• Installing Python - Anaconda distribution

• Setting up Jupyter Lab (video)

• numpy: User guide, API reference, Introdution (video)

• pandas: User guide, API reference

• matplotlib: User guide, API reference

• seaborn: User guide, API reference

• scipy.stats: User guide, API reference

• sklearn: User guide, API reference

• Example of data analysis with Python (video)

Data sets

• https://ourworldindata.org

• https://www.kaggle.com/datasets