🔬 Skill track
Data and AI
15 courses — 98 lessons
Analytics, modeling, and AI foundations for real insight.
Data Analysis
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- What data analysts actually do
- Working with spreadsheets and tables
- Numbers, averages, and basic statistics
- +7 more topics
Data Analysis
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve real-world tasks, work more efficiently, and build stronger projects.
- SQL joins, aggregations, and window functions
- Funnel and conversion analysis
- Cohort and retention analysis
- +4 more topics
Data Analysis
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve complex problems, optimize your work, and build advanced real-world solutions.
- Advanced SQL and query optimization
- Causal analysis and attribution modeling
- Statistical inference and advanced hypothesis testing
- +3 more topics
Data Science
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- Data science workflow overview
- Data cleaning and preprocessing
- Exploratory data analysis
- +3 more topics
Machine Learning
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- Machine learning concepts and terminology
- Data prep and feature engineering
- Supervised models and training
- +3 more topics
Machine Learning
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve real-world tasks, work more efficiently, and build stronger projects.
- Feature engineering and selection
- Model evaluation and cross-validation
- Ensemble methods: bagging and boosting
- +4 more topics
Machine Learning
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve complex problems, optimize your work, and build advanced real-world solutions.
- Deep learning foundations with PyTorch
- CNNs and transfer learning
- NLP and transformer models
- +3 more topics
SQL for Analytics
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- SQL basics and querying
- Filtering, sorting, and joins
- Aggregations and window functions
- +3 more topics
SQL for Analytics
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve real-world tasks, work more efficiently, and build stronger projects.
- Window functions
- CTEs and recursive queries
- Advanced JOINs and set operations
- +4 more topics
SQL for Analytics
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve complex problems, optimize your work, and build advanced real-world solutions.
- Query execution plans in depth
- Table partitioning
- Materialized views and refresh strategies
- +3 more topics
Tableau
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- Tableau setup and data connections
- Charts and calculated fields
- Dashboards and interactivity
- +3 more topics
Power BI
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- Power BI setup and data modeling
- DAX basics and measures
- Visuals and report design
- +3 more topics
Generative AI
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to write real code, solve everyday problems, and build practical projects.
- Generative AI fundamentals
- Prompt design and evaluation
- Model limits and safety
- +3 more topics
Generative AI
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve real-world tasks, work more efficiently, and build stronger projects.
- Advanced prompt engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector databases
- +4 more topics
Generative AI
Through practical lessons and AI guidance, you’ll build your skills step by step. By the end, you’ll be able to solve complex problems, optimize your work, and build advanced real-world solutions.
- Building production AI applications
- Function calling and structured outputs
- Agentic systems and multi-agent patterns
- +3 more topics