AI for Data & Decision-Making
Analyze data, build a dashboard, and automate recurring analysis with AI — no deep stats degree required.
About this course
You'll use AI to clean and analyze real datasets, build a working dashboard or insight tool, and automate the recurring analysis that eats analysts' time — AI handles the heavy lifting while you stay the person who frames the question and sanity-checks the answer. The edge it gives you: you can walk into a role and produce a usable dashboard and a sound recommendation in days, not weeks. Every lesson ends in a deliverable, and you walk away with a live dashboard or insight tool plus an automated analysis pipeline you can demo to an employer — proof you turn data into decisions, fast.
8 lessons
Asking the Right Question of Your Data
Most bad analysis starts with a bad question. Use AI to sharpen a vague business question into a measurable one and identify the data you need. You'll produce an analysis brief that keeps the whole project honest.
Cleaning and Understanding a Dataset with AI
Use AI to profile, clean, and make sense of a messy real dataset — spotting gaps, outliers, and types — while you verify it isn't inventing structure. You'll deliver a cleaned dataset and a data dictionary.
Exploratory Analysis Without Deep Stats
Use AI to run and explain exploratory analysis in plain language, surfacing patterns and relationships you can trust. You'll produce a findings summary with the key charts and a sanity-check on each claim.
Turning Numbers into a Story Leaders Act On
Learn to translate analysis into a clear, honest narrative and recommendation for a non-technical audience. You'll deliver a one-page insight brief that drives a decision.
Building a Dashboard or Insight Tool
Use AI to help build a working dashboard or lightweight insight tool that updates from your data. You'll ship a functioning dashboard that visualizes the metrics that matter.
Automating Recurring Analysis
Build a repeatable pipeline so a recurring analysis or report runs with minimal effort each cycle. You'll produce an automated workflow that turns a weekly chore into a button-press.
Guardrails: Accuracy, Bias, and Not Over-Trusting AI
Know how AI analysis goes wrong — hidden bias, misread context, confident errors — and build checks that catch it. You'll create a data-QA checklist you run before any number leaves your hands.
Capstone: A Live Dashboard + Automated Pipeline
Package your dashboard, automated analysis, and insight brief into one portfolio project with the decisions it enables documented. This is the artifact that proves you turn data into decisions, fast.