Start by building a strong data foundation
Learn SQL by doing! Solve multiple realistic end to end case studies and challenging data analytics projects from the following domains:
Health analytics Marketing analytics People analytics Financial markets Fast moving consumer goods Digital marketing
Serious SQL is fully complete and all videos and tutorial content can be accessed on demand.
Access to mentors from the Data With Danny team and further SQL support is available to all students on our private Discord community.
Cover many core SQL skills and techniques required for data analysis from beginner to advanced levels including:
Where filters and ordering data Group by aggregates Identifying and dealing with duplicate data Common table expressions and subqueries Summary statistics Exploratory data analysis Complex table joins Entity relationship diagrams SQL reverse engineering Data problem solving techniques Window functions Case When Statements Recursive CTEs Cumulative aggregates Simple, weighted and exponential moving metrics Historical vs Snapshot data analysis techniques Temp tables and views String transformations Regular Expressions Datetime manipulation
Gain familiarity with popular programming tools such as Docker, Markdown, GitHub and the command line interface (CLI) Learn how to setup your own GitHub Pages project portfolio page with a guided step-by-step guide Access to solutions for all 8 Week SQL Challenge case studies with explanations and further exercises
All database and SQL interface infrastructure are Docker based with detailed instructions to install WSL2 and Docker Desktop on Windows and quick-start guides for Apple M1 Macs.