Turn raw business data into decisions - spreadsheets, dashboards, and honest answers - with AI as the analyst who writes every formula and query for you.
Every team drowns in data and starves for answers. This no-code course makes you the person in the room who actually knows the numbers: pull real data into a spreadsheet, clean it, ask it the right questions, and build a dashboard people trust - with AI writing any formula, query, or chart spec you need. Built for office workers, ops people, and founders who want to run on evidence instead of vibes, without learning to code or SQL.
Built by Lakshya Kumar
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Sign in to applyComplete all modules, then submit the required number of capstone projects. Each must earn a passing rating from an admin reviewer.
Build a dashboard for a real business or a public dataset that refreshes on its own from a connected source. It must answer five named questions a decision-maker actually asks (write the five out), show at least four metrics with the right chart for each, and include a short data-source note stating where each number comes from and how fresh it is. Submit the live link plus a one-paragraph tour of what each section answers.
Paste this into any AI chat. Fill in the bracketed parts with your context — you'll get back a straight answer on whether this belongs on your plate.
I'm learning business analytics on Capstok - a no-code course covering pulling and cleaning data, spreadsheets and pivot tables, business metrics, dashboards, storytelling, forecasting, and light automation. Act as my analyst: write the formulas, queries, and chart specs I ask for, explain what each number means, challenge my conclusions, and flag when the data can't actually support the claim I want to make.
Pick one real question, answer it with data, and write it up so someone could act on it: the question and why it mattered, the data and how you checked it was right, the finding with the chart that proves it, and a specific recommendation. Show at least one moment where the data contradicted your initial assumption. Two to four pages or one tight deck.
Package a repeatable weekly report that someone with no analytics skill can produce in under 15 minutes. Include the source sheet or template, a step-by-step runbook, the standing questions it answers, and one filled-in example week. It must survive being handed to a colleague - test it by writing instructions precise enough that a stranger produces the same output.