Data Science resources

data-science-resources.md

Data Science Resources

• Data Science Curriculum

Industry

• O'Reilly: 2015 Data Science Salary Survey
• ASA Statement on the Role of Statistics in Data Science
• Data science is different now
• Does my Startup Data Team Need a Data Engineer?
• HBR: What Great Data Analysts Do — and Why Every Organization Needs Them
• HBR: The Kinds of Data Scientist
• Four Types of Data Scientists
• Analytics Translator – The Most Important New Role in Analytics
• HBR: How to Decide Which Data Science Projects to Pursue
• Most impactful AI trends of 2018: the rise of ML Engineering
• Preparing for the Data Science Job Hunt

Foundations

• How to Study Math
• A Mind For Numbers: How to Excel at Math and Science by Barbara Oakley
• Ideas in Mathematics
• Mathematics: Its Content, Methods and Meaning
• Princeton Companion to Mathematics
• Linear Algebra Explained in Four Pages
• Math for Machine Learning
• Mathematics for Machine Learning
• Explained Visually

Probability & Statistics

• Statistical Methods
• Multiple Hypothesis Testing
• The 10 Statistical Techniques Data Scientists Need to Master
• Bayesian Decision Theory Made Ridiculously Simple
• What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum, Review
• Probability Cheatsheet

Machine Learning

• A Course in Machine Learning by Hal Daumé
• Fast.ai: Introduction to Machine Learning for Coders
• Machine Learning Mastery
• Machine Learning Yearning
• Machine Learning Algorithms: Which One to Choose for Your Problem
• Google: Learn with Google AI
• Do We Need Hundreds of Classifiers to Solve Real World Classification Problems?

Causal Inference

• The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data
• Does water kill? A call for less casual causal inferences
• ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus

Online Coursework

• Statistical Inference for Data Science
• Fast.ai: Practical Deep Learning For Coders
• Open Source Data Science Masters
• Coursera: Machine Learning Specialization

Practical

• scikit-learn
• TensorFlow-Tutorials
• 39 Machine Learning Resources That Will Help You in Every Essential Step
• Machine Learning Cheatsheet
• Facets: Visualizations for machine learning datasets
• Google Dataset Search
• The 50 Best Free Datasets for Machine Learning
• Hacker's Guide to Heathcare Data
• A guide to deep learning in healthcare
• Guide to saving & hosting your first machine learning model
• AWS explained
• Why you need to improve your training data, and how to do it
• What Charts Do
• What Charts Mean
• Building a simple Keras + deep learning REST API
• cheatsheets-ai

Advanced

• Statistical Learning with Sparsity
• An Introduction to Deep Reinforcement Learning
• Recurrent Neural Networks Tutorial