Textbook:

1. Introduction to Data Science: Data Wrangling and Visualization with R by Rafael A. Irizarry   (Required)

2. Python Data Science Handbook by Jake VanderPlas

available at https://jakevdp.github.io/PythonDataScienceHandbook/

3. Python for Biologists Tutorial. Available at https://www.pythonforbiologists.org/

4. Machine Learning for Biology Tutorial. Available at https://pythonforbiologists.com/

5. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Available at https://github.com/janishar/mit-deep-learning-book-pdf or https://www.deeplearningbook.org

6. Deep Learning for Genomics data-driven approaches for genomics applications in life sciences and biotechnology by Upendra Kumar Devisetty (available online from the Thomas Cooper Library)

Recommended

1. Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Mattens.

2. Deep Learning by PyTorch: Build, Train, and Tune Neural Networks Using Python Tools by Eli Stevens, Luca Antiga and Thomas Viehmann