Incoming Resources
- Fundamentals of data engineering, plan and build robust data systems, Joe Reis and Matt Housley
- Big data @ work, dispelling the myths, uncovering the opportunities, Thomas H. Davenport
- Learning Spark, Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
- Doing data science, Cathy O'Neil and Rachel Schutt
- Data science for business, [what you need to know about data mining and data-analytic thinking], Foster Provost and Tom Fawcett
- R for data science, import, tidy, transform, visualize, and model data, Hadley Wickham and Garrett Grolemund
- Hands-on machine learning with Scikit-Learn, Keras, and Tensorflow:, concepts, tools, and techniques to build intelligent systems/, Aurélien Géron
- Data science programming all-in-one for dummies, by John Paul Mueller and Luca Massaron