Role path
Data Scientist
Frame problems as models, prove they beat simple rules and run them in production.
9 tools9 courses4 lines53 lessons open4 career stages33 h in total
Tools this role uses
The labs and templates for real work that the data scientist route opens. Use them on the job today; the courses below teach why they work.
Fresher
Station 1Data Analysis with Excel, Python & AIGo from a vague question to a clear answer: clean and pivot data in a spreadsheet, repeat the analysis in Python with pandas, check an AI assistant's work and write a one-page answer people act on.Change to the System Design line
Station 2SQL & Data ModelingDesign PostgreSQL tables that keep every fact in one place, write the SQL behind real reports, make queries fast with the right indexes, and keep data correct under concurrent writes and live schema changes.Junior
Change to the Data line
Station 3Statistics for Data WorkThe statistics analysts and data scientists use every week: honest summaries, confidence intervals, hypothesis tests, A/B tests, regression and the traps that fool smart people.- Station 4Dashboards and Business IntelligenceModel data for reporting, define metrics once, design dashboards around decisions and keep them fresh, tested and trusted.
Mid-level
Station 5Data Science and Machine LearningFrame business problems as models, build them with Python and scikit-learn, and prove they beat a simple rule.Change to the Product Management line
Station 6Metrics & Product AnalyticsPick the numbers that matter, read funnels and cohorts, trust your data, run experiments and pilots, and turn a metric drop into a decision.Senior
Change to the Data line
Station 7Machine Learning in ProductionTake models from a notebook to a reliable service: pipelines, deployment, monitoring, drift and retraining (MLOps).Change to the AI Engineering line
Station 8LLM Apps: Prompts, RAG and EvalsBuild reliable features on large language models: prompts, structured output, tool calling, retrieval (RAG) and evaluation.- Station 9AI Systems for BuildersLearn how AI features really work, how the biggest models are served, and how to build and code with AI safely.