Data Science · beginner
AI for Data Analysis: From CSV to Insights
Use LLMs as your data analysis co-pilot. Learn to query datasets with natural language, automate pandas workflows, generate visualisations with code, build automated reporting pipelines, and deploy a natural language SQL interface.
- 8 hours
- 20 lessons
- 5 modules
- updated April 2026
try it
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
free lesson · read · 25 min
How LLMs Accelerate Data Work
Most data work is not complex statistics — it is the repetitive mechanical steps: loading data, writing boilerplate pandas code, formatting charts, writing summaries. LLMs can handle all of this, letting you focus on…
question 1 of 3 · from the Module 1 quiz
What is the most important safety practice when using LLM-generated data analysis?
Pick an answer.
curriculum
5 modules, 20 lessons
The whole course is free.
- readHow LLMs Accelerate Data Work25 min
- hands-onSet Up Your AI Data Environment20 min
- videoAI-Powered Data Analysis Overview20 min
- quizAI Data Foundations Quiz10 min
how it's built
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 5 guided hands-on walkthroughs you run in a real environment.
- 02 5 module quizzes — every answer comes with an explanation.
- 03 Last updated April 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
outcomes
What you'll be able to do
- 01 Query and explore datasets using natural language
- 02 Generate and execute pandas code with LLM assistance
- 03 Create data visualisations from plain English descriptions
- 04 Build automated report generation pipelines
- 05 Create a natural language SQL interface to any database
- 06 Evaluate and validate LLM-generated analysis for accuracy
before you start
- — Basic Python (reading a script, running it)
- — Familiarity with what a CSV file is
- — No pandas or SQL experience required
questions
Before you start
How long does it take?
About 8 hours of lessons, videos and hands-on walkthroughs across 5 modules.
What’s free?
The whole course is free — no card required.
get started