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Data Analytics using R and Python

Course Name: Data Analytics

Participants: MBA (IB) 2020-22 Batch, Indian Institute of Foreign Trade (IIFT), India.

Faculty Name: Dr. Tanujit Chakraborty

Timeline: July 2021 to September 2021 | Sessions: 20 Sessions

Email: [email protected]

Course Webpage: https://www.ctanujit.org/si.html

Disclaimer: These notes closely follow the material in the textbooks cited in the documents and several publicly available online materials, including courses from Stanford University, IITKGP, and ISI, with some additions by the author. Below, I provide a non-exhaustive reference list. These notes should not be distributed or used for commercial purposes.

Main References:

[1] James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An Introduction to Statistical Learning, Springer. (Read the Free Online Copy from here (Second Edition): https://www.statlearning.com/)

[2] Friedman J, Hastie T, Tibshirani R. (2009). The Elements of Statistical Learning. New York: Springer series in statistics. (Read the Free Online Copy from here (Second Edition): https://web.stanford.edu/~hastie/ElemStatLearn/)

[3] Course Notes of IITKgp: https://web.stanford.edu/class/stats200/lectures.html

[4] Raschka, Sebastian, and Vahid Mirjalili. Python machine learning: Machine learning and deep learning with Python, scikit-learn, and TensorFlow 2. Packt Publishing Ltd, 2019.

[5] StatQuest: https://www.youtube.com/@statquest

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