This repository contain the resources for the PS4016 module running Fall 2021 at University of St Andrews. Instructor: Justin Ales.

Use the following URL or the button below to launch this in a cloud hosted jupyter notebook.

https://mybinder.org/v2/gh/j-ales/PS4106_2021-22/master

Resources

Helpful Resources for PS4106 Students

Data Science Textbooks:

Computational and Inferential Thinking: The Foundations of Data Science 2nd Edition by Ani Adhikari, John DeNero, David Wagner. https://inferentialthinking.com/chapters/intro.html

Principles and Techniques of Data Science By Sam Lau, Joey Gonzalez, and Deb Nolan. https://www.textbook.ds100.org/intro.html

Basic Python:

• Python Crash Course (book)
• Learn Python the Hard Way
• Introduction to Python
• Python + Numpy tutorial
• Python 101 jupyter notebook

Online Python Courses/Practice:

• Codeacademy
• CodingBat
• LeetCode
• PythonPractice

Data Visualization

• Data to Viz - help determining what visualization is appropriate; with code examples

More Data Science in Python Resources:

• Kaggle's learn pandas - for learning pandas (interactive programming)
• Python Data Science Handbook (book)
• Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
• Python for Data Analysis(book)
• Learning Pandas