Data Analyst Course with AI
From raw lines to a decision someone signs. Includes the eval work that separates an analyst from a reporter.
Billed every year. One subscription, 35 courses, every program included.
This data analyst course path with AI takes you from raw data to a decision someone signs. After setting up your AI tools, you work on spend data with Claude Code: consolidating ERP exports into a spend cube and analysing categories.
It also includes How to Become an AI Quality and Eval Engineer, because checking whether an AI result is right is now part of an analyst's job. The path ends with your portfolio, a live demo interview and a structured job search.
Foundation
4 courses · 46 lessonsApplied specialisation
3 courses · 31 lessonsEval & quality
1 course · 100 lessonsGet hired
3 courses · 23 lessonsWho the Data Analyst Program Is For
- Graduates and early-career analysts who want to work faster with AI
- Analysts moving from reporting to analysis that drives a decision
- Anyone preparing for data analyst roles where AI skills are expected
What You Will Be Able to Do
- Clean, classify and analyse messy business data with AI, recipe by recipe
- Turn analysis into a recommendation someone can act on
- Check whether AI output is right before you rely on it, using evals
- Present your work as a portfolio and a live demo
Data Analyst Program FAQ
What data do the data analyst courses use?
The applied courses work on spend and procurement data, the deepest real dataset on the site. The methods carry over to any business data.
Do I need to know SQL or Python first?
No. The work is done with Claude Code in plain English. Knowing a little SQL helps, but it is not required.