Introduction to Data ScienCe

1. Introduction to Data Science

2-3. Introduction to Descriptive Statistics

4. Hypothesis Testing and Statistical Inference

5-6. Exploratory Data Analysis and the Data Science Process

8-9. Classification 1: Linear & Logistic Regression and K-Nearest Neighbors

10-11. Classification 2: Decision trees and Support Vector Machine

12. Clustering and Dimensionality Reduction

13. Recommendation Systems

14. Data Visualization

References

[1] Jeffrey M.Stanton, Introduction to Data Science, Syracuse University, 2013.

[2] Cathy O’Neil, Rachel Schutt, Doing Data Science: Straight Talk from the Frontline, O’Reilly Media, 2013.

[3] Joel Grus, Data Science from Scratch: First Principles with Python, O’Reilly Media, 2015.

[4] Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques, 3^rd Edition, Morgan Kaufmann, 2011.

[5] Matt Harrison, Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization, CreateSpace Independent Publishing Platform, 2016.