Johns Hopkins University · Graduate Course

Big Data Analytics

Thirteen modules on machine learning with real country-year data — from visualization and regression through trees, forests, and neural networks. Slides, R code, and datasets to download, plus ready-to-run prompts for Claude, ChatGPT, Gemini, and Copilot.

Download the data Run the R code Ask the AI Verify every result
Roumen Vesselinov, PhD
Roumen Vesselinov, PhD
Where to go

Three places to work

Each opens in its own page. The datasets are yours to download; every module page puts the slides, the R code, and a set of ready-to-run AI prompts in one place.

13
COURSE

Modules

All thirteen modules, from the introduction to machine learning through neural networks and the final project. Slides, code, and prompts on every page.

Open the modules →
23
DATA

Datasets

Twenty-three country-year datasets built from the University of Gothenburg's Quality of Government data — each with a one-click data and description download.

Open datasets →
INSTRUCTOR

Bio

Who is teaching the course, what I work on, and how I can help with your Capstone project, dissertation, or applied research.

Read the bio →
13modules
23datasets to analyze
4AI assistants, one workflow