AI for Data Analysis: Essentials

Learners will be able to use AI for everyday analysis: formulas, cleanup, and takeaways. The course covers asking for a formula and testing it on a few rows, cleaning a messy column with clear instructions, and writing the two-line takeaway under every table. They leave analyzing faster while spot-checking every number by hand.

What this course covers

The course runs across 3 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Smart Formulas and Spot-Checking — Learn to ask AI for spreadsheet formulas. You will test the formula on ten rows first. Then you will spot-check the math by hand.
Data Cleanup and Chart Choices — Clean messy data columns by giving the AI clear instructions. Get chart ideas from the AI to prove your point.
The Two-Line Takeaway — Write a clear two-line takeaway under every table. Practice finding mistakes in AI reports by checking the raw data.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Analysts and anyone who works with spreadsheets of data. The material is pitched at Beginner level, and takes roughly 30 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Data & Analytics track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a quiz assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

See how this training works for the whole function on AI training for Data & Analytics.

Also in this track

AI for Data & Analytics — Analysts and data teams learn to use AI to query, analyze, and explain data while validating quality. The course covers natural language to SQL and code, analysis and visualization, RAG over data, and quality and validation. Participants finish able to deliver faster insights they can stand behind.
AI for BI & Reporting — A practical course for BI teams: natural-language querying, AI-assisted dashboards, and automated report narratives. Learners ship a dashboard with a generated narrative layer they can defend.
AI for Data Science — A course for data scientists on using AI through the modeling workflow: exploration, features, experiments, and documentation. The emphasis is speed without sacrificing statistical rigor.
AI for Data Analysis Pathway — Grow from everyday analysis habits into AI-assisted data science workflows.

Frequently asked questions

How long does this course take?

It runs roughly 30 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-DS-ESS.