Data, Storage & Analytics

Collecting, storing, transforming, and deriving insight from data

Subdomains

Topics

Lessons

BI tools (Tableau, Power BI, Looker), dashboard design, reporting, data visualization, and self-service analytics.

ETL/ELT pipelines, data warehousing, data lakes and lakehouses, streaming data, and orchestration frameworks.

Data modeling, relational theory, SQL fundamentals, data types and formats, and data literacy.

Data catalogs, metadata management, data lineage, data quality frameworks, master data management, and data contracts.

Statistical analysis, hypothesis testing, experimental design, predictive modeling, and data science workflows.

Indexing strategies, caching layers, search engines, vector databases, time-series databases, and graph databases.