🔬 Skill track
Data and AI
15 courses — 98 lessons
Analytics, modeling, and AI foundations for real insight.
Data Analysis
Spreadsheets, basic statistics, data cleaning, SQL fundamentals, and business metrics.
- What data analysts actually do
- Working with spreadsheets and tables
- Numbers, averages, and basic statistics
- +7 more topics
Data Analysis
SQL joins, window functions, funnel and cohort analysis, A/B testing, and statistics for analysts.
- SQL joins, aggregations, and window functions
- Funnel and conversion analysis
- Cohort and retention analysis
- +4 more topics
Data Analysis
Causal inference, attribution modeling, advanced experimentation, data storytelling, and end-to-end analytics projects.
- Advanced SQL and query optimization
- Causal analysis and attribution modeling
- Statistical inference and advanced hypothesis testing
- +3 more topics
Data Science
Data wrangling, visualization, and foundational statistics.
- Data science workflow overview
- Data cleaning and preprocessing
- Exploratory data analysis
- +3 more topics
Machine Learning
Supervised models, evaluation methods, and feature basics.
- Machine learning concepts and terminology
- Data prep and feature engineering
- Supervised models and training
- +3 more topics
Machine Learning
Feature engineering, ensemble methods, XGBoost, hyperparameter tuning, and sklearn pipelines.
- Feature engineering and selection
- Model evaluation and cross-validation
- Ensemble methods: bagging and boosting
- +4 more topics
Machine Learning
Deep learning with PyTorch, CNNs, model deployment with FastAPI, and MLOps for production.
- Deep learning foundations with PyTorch
- CNNs and transfer learning
- NLP and transformer models
- +3 more topics
SQL for Analytics
Joins, aggregates, and query patterns for business insights.
- SQL basics and querying
- Filtering, sorting, and joins
- Aggregations and window functions
- +3 more topics
SQL for Analytics
Window functions, CTEs, advanced JOINs, query optimization, and indexing for real analytics work.
- Window functions
- CTEs and recursive queries
- Advanced JOINs and set operations
- +4 more topics
SQL for Analytics
Execution plans, partitioning, materialized views, PostgreSQL advanced features, and data modeling.
- Query execution plans in depth
- Table partitioning
- Materialized views and refresh strategies
- +3 more topics
Tableau
Build dashboards, charts, and shareable reports.
- Tableau setup and data connections
- Charts and calculated fields
- Dashboards and interactivity
- +3 more topics
Power BI
Data modeling, DAX basics, and interactive reporting.
- Power BI setup and data modeling
- DAX basics and measures
- Visuals and report design
- +3 more topics
Generative AI
Prompting, model capabilities, and safe usage patterns.
- Generative AI fundamentals
- Prompt design and evaluation
- Model limits and safety
- +3 more topics
Generative AI
Prompt engineering, RAG, embeddings, vector databases, LangChain, and evaluating LLM outputs.
- Advanced prompt engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector databases
- +4 more topics
Generative AI
Production AI apps, function calling, agents, multimodal models, safety practices, and inference optimization.
- Building production AI applications
- Function calling and structured outputs
- Agentic systems and multi-agent patterns
- +3 more topics