Data Science and Machine Learning: Making Data-Driven Decisions 

Foundations - Python and Statistics

Python for Data Science

Statistics for Data Science

Project 1

Making Sense of Unstructured Data

Introduction

Clustering

Spectral Clustering, Components, and Embeddings

Regression and Prediction

Classical Linear and Nonlinear Regression and Extensions

Modern Regression with High-Dimensional Data

The Use of Modern Regression for Causal Inference

Classification and Hypothesis Testing

Hypothesis Testing and Classification

Project 2

Deep Learning

Deep Learning

Recommendation Systems

Recommendations and Ranking

Collaborative Filtering

Personalized Recommendations

Networking and Graphical Models

Introduction

Networks

Graphical Models

Predictive Analytics

Predictive Modeling for Temporal Data

Feature Engineering