awesome-data-science
Data science and programming resources for daily work
https://github.com/m-muecke/awesome-data-science
Last synced: 18 days ago
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Computer Science
R
Data Science
Books
- Advanced Statistical Computing - Roger D. Peng
- Convex Optimization - Stephen Boyd and Lieven Vandenberghe
- Elements of Statistical Learning - Trevor Hastie, Robert Tibshirani and Jerome Friedman
- Interpretable Machine Learning - Christoph Molnar
- Linear Algebra Review - J. Zico Kolter
- Linear Algebra for Data Science with examples in R - Shaina Race Bennett
- Statistical Inference for Data Science - Brian Caffo
- Statistical Learning with Sparsity: The Lasso and Generalization - Trevor Hastie, Robert Tibshirani, Martin Wainwright
- Think Bayes - Allen B. Downey
Courses
Python
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - Aurélien Géron
- Introduction to Machine Learning with Python - Andreas C. Müller and Sarah Guido
- Python Data Science Handbook: Essential Tools for Working with Data - Jake VanderPlas
- Python for Data Analysis - Wes McKinney
- Think Stats 2e - Allen B. Downey
- Web Scraping with Python - Ryan Mitchell
- Applied Data Science with Python Specialization - Coursera
- Foundations of Machine Learning - Bloomberg ML EDU
- GitHub Curated List: Data Science Python
- Machine Learning Specialization - Andrew Ng, Stanford / Coursera
R
- Flexible and Robust Machine Learning Using mlr3 in R - Lars Kotthoff, Raphael Sonabend, Michel Lang, Bernd Bischl
- Introduction to Statistical Learning - Gareth James, Daniela Witten, Trevor Hastiec, Rob Tibshirani
- Mastering Spark with R - Javier Luraschi, Kevin Kuo, Edgar Ruiz
- R Graphics Cookbook - Winston Chang
- R Programming for Data Science - Roger D. Peng
- Report Writing for Data Science in R - Roger D. Peng
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - Chester Ismay and Albert Y. Kim
- Text Mining with R - Julia Silge and David Robinson
- GitHub Curated List: Data Science R
- Data Science Specialization - Coursera
- Introduction to Machine Learning (I2ML) - LMU Munich
- R for Data Science (2e) - Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
- The targets R Package User Manual - Will Landau
- Tidy Modeling with R - Max Kuhn, Julia Silge
Data Sets
R
- European Central Bank’s Data Warehouse
- Fama-French Data Library
- Google Data Set Search
- Kaggle Data
- OECD Data Portal
- OpinRank Data – Reviews From TripAdvisor \& Edmunds
- Quandl - Financial, Economic, and Alternative Datasets
- SNAP – Amazon Reviews
- U.S. Census Bureau Data
- University of Illinois at Chicago - Opinion Mining, Sentiment Analysis, and Opinion Spam Detection
- University of Texas - Multifaceted Text Classification Datasets
- World Bank Open Data
- Yelp Academic Data Sets
- eurostat - Statistical Database of the European Commision
- OpinRank Data – Reviews From TripAdvisor \& Edmunds
- SNAP – Amazon Reviews
- UCI – Machine Learning Repository
- UCI – Machine Learning Repository
Deep Learning
Books
- Dive into Deep Learning - Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola
- Deep Learning - Ian Goodfellow and Yoshua Bengio and Aaron Courville
Python
- Deep Learning with PyTorch - Eli Stevens, Luca Antiga, and Thomas Viehmann
- Hugging Face Transformers - Pre-trained models for NLP, vision, and audio
- PyTorch Lightning - High-level framework for PyTorch
- Deep Learning Specialization - Andrew Ng / DeepLearning.AI, Coursera
- Practical Deep Learning for Coders - fast.ai
- Yann LeCun’s Deep Learning Course at CDS
Docker
R
Documentation and Style Guide
R
Econometrics
R
Finance
Books
- Bayesian Stability Concepts for Investment Managers - Diethelm Würtz, Tobias Setz
- Numerical Methods and Optimization in Finance - Manfred Gilli, Dietmar Maringer and Enrico Schumann
- Statistics and Data Analysis for Financial Engineering (with R examples) - David Ruppert and David S. Matteson
- Numerical Methods and Optimization in Finance - Manfred Gilli, Dietmar Maringer and Enrico Schumann
Links
Python
- Advances in Financial Machine Learning - Marcos López de Prado
- Machine Learning for Algorithmic Trading - Stefan Jansen
- Machine Learning in Finance: From Theory to Practice - Igor Halperin, Matthew F. Dixon, Paul Bilokon
- Python for Finance - Yves Hilpisch
- Artificial Intelligence for Trading Nanodegree - Udacity
- Financial Engineering and Risk Management Specialization
- Investment Management with Python and Machine Learning Specialization - Coursera
R
- Basic R for Finance - Diethelm Würtz, Tobias Setz, Yohan Chalabi, Longhow Lam, Andrew Ellis
- Financial Data and Models Using R - Clifford Ang
- Financial Optimisation with R - Enrico Schumann
- Financial Risk Modelling and Portfolio Optimization with R - Bernhard Pfaff
- Introduction to Computational Finance and Financial Econometrics with R - Eric Zivot
- Machine Learning for Factor Investing - Guillaume Coqueret and Tony Guida
- Portfolio Management with R - Enrico Schumann
- Portfolio Optimization with R/Rmetrics - Diethelm Würtz, Tobias Setz, Yohan Chalabi, William Chen, Andrew Ellis
- Topics in Empirical Finance with R and Rmetrics - Patrick Hénaff
- CRAN Task View: Empirical Finance
- Applying Data Analytics in Finance - Coursera
- ECON 424/CFRM 462: Computational Finance and Financial Econometrics - University of Washington
- FRE7241 Algorithmic Portfolio Management - NYU
- Financial Data and Models Using R - Clifford Ang
- Machine Learning for Factor Investing - Guillaume Coqueret and Tony Guida
- Financial Optimisation with R - Enrico Schumann
- Portfolio Management with R - Enrico Schumann
Linux and Shell/Bash
R
- Data Science at the Command Line - Jeroen Janssens
- GitHub Curated List: Bash Resources
- GitHub Curated List: Linux Ecosystem Overview
- GitHub Curated List: List of Shell command-line frameworks
- GitHub Curated List: Software for Linux
- Advanced Bash Scripting Lecture - bwHPC
- Bash Scripting Cheat Sheet
- The Missing Semester of Your CS Education: MIT lecture for shell, Vim, Git, etc. - MIT
NLP
Python
- Applied Text Analysis with Python - Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
- Natural Language Processing with Python - Steven Bird, Ewan Klein, Edward Loper
- A Code-First Intro to Natural Language Processing - fast.ai
- CS224U: Natural Language Understading - Stanford University
- CS224n: Natural Language Processing with Deep Learning - Stanford University
- Natural Language Processing Nanodegree - Udacity
Python
Books
- Automate the Boring Stuff with Python - Al Sweigart
- Fluent Python - Luciano Ramalho
- Python for Everybody - Charles R. Severance
- The Hitchhiker’s Guide to Python! - Kenneth Reitz and Tanya Schlusser
- Think Python 2e - Allen B. Downey
- Whirwind Tour of Python - Jake VanderPlas
- Architecture Patterns with Python - Harry Percival, Bob Gregory
- Effective Python - Brett Slatkin
Courses
Links
Quantitative Economics
Python
- QuantEcon - A high performance, open source Python code library for economics
- Advanced Quantitative Economics with Python - Thomas J. Sargent and John Stachurski
- Introduction to Economic Modeling and Data Science - Chase Coleman, Spencer Lyon, Jesse Perla, et al.
- Python Programming for Economics and Finance - Thomas J. Sargent and John Stachurski
- Quantitative Economics with Python - Thomas J. Sargent and John Stachurski
R
Blogs
Books
- Advanced R - Hadley Wickham
- Advanced R Solutions - Malte Grosser, Henning Bumann, Hadley Wickham
- An Introduction to R - Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto, David Lusseau
- Cookbook for R - Winston Chang
- Efficient R Programming - C. Gillespie and R. Lovelace
- Functional Programming - Sara Altman, Bill Behrman, Hadley Wickham
- Hands-On Programming with R - Garrett Grolemund
- Mastering Software Development in R - Roger D. Peng
- R Markdown Cookbook - Yihui Xie, Christophe Dervieux, Emily Riederer
- R Markdown: The Definitive Guide - Yihui Xie, J. J. Allaire, Garrett Grolemund
- R Packages: Organize, Test, Document, and Share Your Code - Hadley Wickham and Jennifer Bryan
- R for Everyone - Jared Lander
- R in Production - Hadley Wickham
- Tidy design principles - Hadley Wickham
- bookdown: Authoring Books and Technical Documents with R Markdown - Yihui Xie
- Happy Git and GitHub for the useR - Jenny Bryan
- ggplot2: Elegant Graphics for Data Analysis (3e) - Hadley Wickham
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
- What They Forgot to Teach You About R - Jenny Bryan, Jim Hester, Shannon Pileggi
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
- Seamless R and C++ Integration with Rcpp - Dirk Eddelbuettel
Courses
Links
SQL
Books
- SQL Cookbook: Query Solutions and Techniques for All SQL Users
- Learning SQL (3e) - Alan Beaulieu
- Use The Index, Luke - Markus Winand
Courses
Time Series
Books
- Analysis of Financial Time Series - Ruey S. Tsay
- Forecasting for Economics and business - Gloria González-Rivera
- Introduction to time series and forecasting - Peter J. Brockwell and Richard A. Davis
- Nonlinear Time Series Analysis - Ruey S. Tsay and Rong Chen
- Time series analysis: forecasting and control: George EP Box, et al.
R
- An Introduction to Analysis of Financial Data with R - Ruey S. Tsay
- Forecasting: Principles and Practice - Rob J Hyndman and George Athanasopoulos
- Multivariate Time Series Analysis: With R and Financial Applications - Ruey S. Tsay
- Nonlinear Time Series: Theory, Methods and Applications with R Examples - David S. Stoffer, Randal Douc, Éric Moulines
- Time Series Analysis and Its Applications With R Examples - Robert H. Shumway and David S. Stoffer
- Time Series: A Data Analysis Approach Using R - Robert H. Shumway and David S. Stoffer
- CRAN Task View: Time Series Analysis
Web Development
Python
- Django - High-level Python web framework
- FastAPI - Modern, fast (high-performance), web framework for building APIs
- Streamlit - A faster way to build and share data apps
- Flask Web Development - Miguel Grinberg
- Django for Everybody (DJ4E) - Charles R. Severance
- Django for Everybody Specialization - Coursera
- Python Django Tutorial Series - Corey Schafer
- FastHTML - Modern web applications in pure Python