Ten tracks across Python development, data analysis, data engineering, and visualization — the deliberate retooling into Python and data that ran through the last few years. Each track includes hands-on projects and assessments.

Python development

• Python Developer
• Associate Python Developer
• Python Programming Fundamentals
• Python Programming Toolbox
• Python Data Fundamentals

Skills: object-oriented and functional programming, comprehensions, iterators and generators, error handling, file I/O, working with APIs.

Data analysis

• Data Analyst
• Associate Data Analyst

Skills: SQL queries, pandas DataFrames, statistical analysis, data cleaning, exploratory analysis, joins and aggregations.

Data engineering

• Associate Data Engineer

Skills: ETL pipelines, data warehousing, database design, data modeling, workflow orchestration, data-quality testing.

Data visualization

• Data Visualization with Plotly and Dash

Skills: interactive dashboards, Plotly graphs, Dash apps, callback functions, responsive web visualizations.

Version control

• GitHub Foundations

Skills: Git workflows, branching strategies, pull requests, code review, repository management.