Data Analyst
Clean source data, build repeatable analyses, and trace findings back to the evidence.
who this is for
For the data analyst on your team. Assign this course to people responsible for this work, whether they are new to AI or already use it. They build a shared foundation, practice in their role studio, and learn the tools needed to clean source data, build repeatable analyses, and trace findings back to the evidence.
what you'll be able to do
Practice how to clean source data, build repeatable analyses, and trace findings back to the evidence. Build work you can explain to a colleague, with checks and a clear point for human review.
your course, in learning order
start with the map, then the early reading labs so names and values are not a surprise. then the data chapters: dataframes, sql, and dataset pipelines — the python to pull, clean, and check a real table. then analytics studio: trace a messy export back to its source and turn it into a defensible memo. later chapters add the model and evaluation skills that make the analysis reproducible. self-paced; the full route is listed below. Chapters are numbered in the order you take them in this course.
- 01from worker to builder
1. Foundations
Shared AI foundations and the prerequisites for this role.
- 02read the script
- 03read the data shapes
- 04read the failure
- 05mutation
- 06read the pipeline
- 07dataframes for analysis
- 08sql for real tables
- 09dataset formats, ingestion, and validation pipelines
- 10analytics studio
2. Role practice
Practice the work of a data analyst in the role studio.
- 11llm apis
3. Applied skills
Build on the studio with tools, workflows, and checks for your role.
- 12structured output
- 13context and retrieval: feeding the model real data
- 14test the analysis before you cite it
how it works
Learn through interactive exercises in your browser. Start with the foundations, then work through practice for your role. Many later exercises ask you to read, edit, and run code; the introductory lessons help you get started without prior coding experience. You can skip a stuck exercise and continue reading.
where you end up
builds data pipelines, ai-assisted analysis, structured extraction from messy sources.
training a team? assign this course to the people doing this role, then review their work together. plan your team’s training.
One lesson is free in the browser. Plus includes curriculum access, saved progress, sync, and completion certificates for $12/month or $99/year. Team training is $297 per seat each month and stays sales-led.