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Introduction to Programming for Data Science
About the class: The goal of this course is to introduce programming in Python, with an emphasis on some of the tools that are most relevant to data science. There are two primary parts of the course:
- Part 1: Exploratory Data Analysis
- Part 2: Introduction to Machine Learning
Lecture notes:
- Week 0: Introduction to Data Science and Machine Learning
- Week 1-2: Mastering Functions, Introduction to Numpy and Pandas
- Week 3: Getting Started with Altair for Data Visualization
- Week 4: Advanced Data Operations with Pandas
- Week 5-6: Linear Regression
- Week 7: Logistic Regression and Classification
- Week 8: Decision Trees and Random Forests
- Week 9: Dimension Reduction and Clustering
Reference Materials::
- A Byte of Python
- Python Data Science Handbook
- An Introduction to Statistical Learning
- The Elements of Statistical Learning
- Probabilistic Machine Learning: An Introduction (2021 edition)
- Lecture notes from Dr. Christopher Davis and Dr. Peijie Zhou