University of Texas at Austin - Post Graduate Program in Data Science 

Python for Data Science

Python Programming
Python for Data Science
Exploratory Data Analysis

Inferential Statistics

Inferential Statistics Foundations
Estimation and Hypothesis Testing
Common Statistical Tests

Predictive Modeling

Introduction to Supervised Learning - Linear Regression

Linear Regression Assumptions and Statistical Inference

Machine Learning - 1

Logistic Regression

Decision Trees

Machine Learning - 2

Bagging and Random Forest

Boosting

Model Tuning

Unsupervised Learning

K-means Clustering

Hierarchical Clustering and PCA

Introduction to Generative AI

Introduction to Generative AI

Introduction to Prompt Engineering

Introduction to SQL

Querying Data with SQL

Advanced Querying

Enhancing Query Proficiency

Data Visualization using Tableau

Storytelling with Data

Creating Interactive Dashboards

Artificial Intelligence Self-Paced Modules

Neural Networks and Computer Vision

Natural Language Processing with Generative AI

Business Analytics Self-Paced Modules

Marketing and Retail Analytics

Financial and Risk Analytics

Web and Social Media Analytics