Syllabus
Overview of Data Science, Data Handling with Python, Characteristics of Data, Statistical Description of Data, Data Visualization, Data Preprocessing, Basic Concepts of Machine Learning, K-Nearest Neighbors (KNN).
Text Books
- Grus, J. (2019). Data Science from Scratch: First Principles with Python (2nd Edition). O'Reilly Media.
- McKinney, W. (2018). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2nd Edition). O’Reilly Media.
References
- Healy, K. (2018). Data Visualization: A Practical Introduction. Princeton University Press.
- Ozdemir, S., & Susarla, D. (2017). Feature Engineering Made Simple: Principles and Practices for Predictive Models. Apress.
- Bruce, P., & Bruce, A. (2020). Practical Statistics for Data Scientists: 50 Essential Concepts. O’Reilly Media.