This repository contains teaching materials, namely slides and accompanying Jupyter Notebooks corresponding to the weekend lecture sessions I deliver for the following programmes:
- PGP in Data Science by University of Maryland
- MS in DS by University of Arizona
- Certification in Data Science by University of Maryland
- AlmaBetter Full Stack Data Science Program
Topics covered so far include
- Time Series Forecasting
- Clustering
- Model and Feature Selection
- Logistic Regression + Usecase
- Hypothesis Testing
- Statistical Inference
- Introduction to Pandas
- Introduction to Python
- Recommender Systems
- Introduction to Probability
- Introduction to SQL
- Decision Trees and Random Forest
- Exploratory Data Analysis