Masters Program

Masters in Data Science and Analytics at Georgia State University, ongoing.

20 months Stack: R · Python

graduate studies

M.S. in Data Science and Analytics, Georgia State University.

Focused coursework in statistics, machine learning, causal inference, and data systems. Capstone project: climate forecasting with neural networks.

coursework

Core

Programming for Business
Business Statistics
Data Management for Analytics
Communicating with Data

Machine Learning

Machine Learning for Business
Deep Learning and Generative AI
Predictive Analytics
Building Generative AI Solutions

Boot Camps

Introduction to R Programming
Software Development for Data Scientists
Calculus & Linear Algebra
Data Ethics, Admin & Governance

Capstone

Climate Forecasting
LSTM Networks
Ensemble Methods
Deployed to cloud

what stood out

Causal inference changed how I think about work. Understanding what *causes* an outcome—not just correlates with it—is what separates good analysis from advice that actually sticks.

The capstone forced me to go from notebook to production. Deployment is part of the problem. A model in a Jupyter file is curiosity. A model behind an API is a system.

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Tello Control Program

Work