Resources

Books

Machine Learning & Data Science

• Doing Data Science (O'Neill, Schutt)
• Applied Predictive Modelling (Kuhn, Johnson)

R

• R For Data Science (Grolemund, Wickham)
• Reproducible Research With R and RStudio (Gandrud)
• An Introduction To Statistical Learning with Applications in R (James, Witten, Hastie, Tibshirani)

Python

• A Whirlwind Tour of Python (VanderPlas)
• Python Data Science Handbook (VanderPlas)
• Introduction to Machine Learning with Python (Guido, Müller)

Statistics

• Bayesian Statistics The Fun Way (Kurt)
• Statistics Explained (McKillup)
• The Art of Statistics (Spiegelhalter)
• Practical Statistics for Data Scientists (Bruce & Bruce)
• Basic Business Statistics (Berenson, Levine, Szabat)
• Business Statistics: A First Course (Levine et al)

Cheat Sheets and "Top X"s

• Choosing an algorithm - from scikit-learn
• Choosing an algorithm - from SAS
• Python for Data Science - from DataCamp
• Jupyter shortcuts
• Top 50 Ggplot Visualisations
• Top 50 Matplotlib Visualisations

Communities

• R Ladies and R-Ladies Mcr
• Her + Data Mcr
• PyData Manchester
• R For Data Science Online Learning Community
• Data Visualisation Society
• Py Ladies

Courses & Short Tutorials

R

• Data Science: R Basics
• Creating interactive presentations with Shiny and R
• Cleaning bad data in R
• How To Create BBC Style Graphics

Python

• Introduction to Python For Data Science
• Python for data science - fundamentals
• Python for data science - intermediate
• Linear Regression on Boston Housing Data
• Natural Language Processing with Python
• Kevin Markham's PyCon2016 Tutorial: Machine Learning with Text in scikit-learn
• Applied Machine Learning 2019 (Andreas Muller, Colombia University)
• SpaCy (Ines Montani)
• Understanding Word Vectors (Allison Parrish)

Maths & Statistics

• Khan Academy - various 'Math' tutorials

Other

• Introduction to Shell For Data Science
• Writing good code for data science

Data Sources

• Gapminder - e.g. average babies per woman per country over time
• Kaggle - e.g. Titanic survival data
• Mother Jones - e.g. US mass shootings
• FiveThirtyEight - e.g. How popular is Trump?
• UNICEF - e.g. Gender disparities in education
• UCI Machine Learning Repository - e.g. Heart disease data
• World Health Organisation (WHO) - e.g. Malaria data
• UK Government - e.g. air pollution in London
• US Government - e.g. Income inequality in California

Learning Platforms

• Coursera
• DataQuest
• Khan Academy

Podcasts

• Linear Digressions
• More or Less: Behind the Stats
• PyData Manchester

Twitter

• Dataquest
• Data Science Renee
• David Spiegelhalter
• Hadley Wickham
• Jon Harmon
• Julia Evans
• Kaggle
• Richard McElreath
• #rladies and R Ladies
• #rstats
• Thomas Lin Pederson
• Vicky Boykis
• Will Koehrsen

YouTube

• A Friendly Introduction to Machine Learning
• Brandon Foltz - Multiple statistics playlists
• CrashCourse - Statistics
• StatQuest - Machine Learning
• David Langer - Intro to Data Science with R
• Brandon Rhodes - Pandas From The Ground Up
• Hans Rosling TED Talks
• Modern NLP in Python (PyData DC 2016)
• Data Mining With WEKA

Other Resource Lists

• The Best Free Books for Learning Data Science
• Data Sci Guide's "Find Content" Search Page

My Notes and Code Examples

• Natural Language Processing (NLP)
• Python
• SQL
• SAS
• Data Journalism
• Data Visualisations