BeginnerStart here. No prior knowledge assumed.
0 of 5 complete
Lesson 1
AI for Data Analysis Overview
The landscape of AI data tools — what they can analyse, their limitations, and when to use them vs traditional tools.
Lesson 2
Julius AI
The AI data analyst — uploading spreadsheets, asking questions, and getting charts and insights.
Lesson 3
ChatGPT Code Interpreter
Advanced Data Analysis in ChatGPT — Python-powered data analysis through natural language.
Lesson 4
Gemini in Google Sheets
AI-powered formulas, data analysis, and the specific Gemini integration in Sheets.
Lesson 5
Uploading and Preparing Data
How to format data for AI analysis — cleaning, structuring, and what makes data analysis reliable.
What is Julius AI primarily used for?
What is ChatGPT's Advanced Data Analysis?
IntermediateBuild on the basics.
0 of 5 complete
Lesson 1
Asking Good Data Questions
How to prompt AI for data analysis — specific questions produce specific answers.
Lesson 2
Data Visualisation with AI
Getting AI to create charts, graphs, and visual summaries of data.
Lesson 3
Statistical Analysis without Statistics
Using AI to run statistical tests and interpret results — the questions AI can answer reliably.
Lesson 4
Combining AI with Spreadsheets
Using AI to accelerate Excel and Sheets work — formula generation, pivot table creation, and data transformation.
Lesson 5
Marketing Data Analysis
Applying AI data tools to marketing datasets — campaign performance, cohort analysis, and attribution.
What is the most important thing to verify in AI data analysis?
What makes a data question good for AI analysis?
AdvancedDepth, edge cases and strategy.
0 of 5 complete
Lesson 1
Where AI Data Analysis Breaks Down
The types of analysis AI handles poorly — and how to know when to verify or use traditional methods.
Lesson 2
SQL with AI Assistance
Using AI to help write SQL queries — the use case for analysts who need SQL but are not SQL experts.
Lesson 3
Building a Data Analysis Workflow
Combining AI tools with traditional spreadsheet and BI tools for a complete analysis workflow.
Lesson 4
Presenting Data Insights
Turning AI-generated analysis into clear communication for decision-makers.
Lesson 5
Future of AI in Data Analysis
Where AI data tools are heading — automated insights, conversational BI, and what changes for analysts.
Where does AI data analysis break down most often?
What is the primary value of AI for non-technical analysts?