Resources & Material for further study
General Data Science Resoures
R
- Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. O’Reilly Media, Inc. Online available here
- Baumer, B., Kaplan, D. & Horton, N. (2020) Modern Data Science with R (2nd Ed.). CRC Press Online available here
- Chester Ismay and Albert Y. Kim. (2020) Statistical Inference via Data Science: A ModernDive into R and the tidyverse. CRC Press [Online available here] (https://moderndive.com/)
Python
- VanderPlas, J. (2016). Python data science handbook: Essential tools for working with data. O’Reilly Media, Inc. Online available here
Machine Learning & Predictive Modelling
R
- Kuhn, M., Silge, J. (2020) Tidy Modeling with R Online available here
Natural Language Processing
General - Community curated list of most recent NLP resources
Python
Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python: analyzing text with the natural language toolkit. “ O’Reilly Media, Inc.”. here