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BUSINESS & PROFESSIONALS Beginner

No-Code Data Analysis with AI: ChatGPT, Excel and SQL for Non-Programmers

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A premium course for non-technical professionals who want to analyze data with conversational AI, without writing a single line of code. You learn to ask questions in natural language and receive charts, descriptive statistics and conceptual SQL queries using ChatGPT Advanced Data Analysis, the COPILOT() function in Excel (with the Microsoft 365 Copilot license caveat) and an accessible alternative via direct file upload into ChatGPT. Covers formulating business requests on tables, text-to-SQL for non-programmers, rigorously verifying AI output (invented columns, wrong calculations, hallucinations), confidentiality and GDPR compliance (synthetic data, anonymization, the Enterprise tier with a DPA), EU AI Act art. 50 context and a complete applied project with reproducible synthetic data. All examples use synthetic data, with no fabricated figures presented as real. Does not provide regulated financial or accounting advice.

10 modules
27 lessons
~24h duration
v1.0 version
AI professor An AI agent built into every lesson — ask questions and get instant answers based on the course content
Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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Content in English
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Interactive AI chat Automatic summaries Personalized quizzes

What you will learn

Practical skills you gain by completing this course

Fundamentals: What AI Can and Cannot Do with Your Data
ChatGPT Advanced Data Analysis: Upload, Cleaning, Statistics and Charts
From Business Question to Insight: Formulating Requests on Tabular Data
Copilot in Excel: The COPILOT() Function, Natural-Language Formulas and Pivots
The Accessible Alternative: Excel Analysis Directly in ChatGPT (No Copilot License)
Introduction to Text-to-SQL for Non-Programmers
Verifying AI Output: How to Catch Invented Columns and Wrong Calculations
Confidentiality and Compliance: What Data NOT to Put in Cloud Tools
Applied Project: A Complete Mini Business Report, from Raw Data to Verified Insight
Appendix: Official Resources, 2026 Updates and Learning Paths

Who it is for

Professionals from any field Managers and team leads Entrepreneurs Freelancers Consultants Anyone who wants to use AI

Recommended level

Beginner

No prior knowledge required. The course starts from scratch.

Updates

Regular

Content updated regularly with the latest practices from the industry.

Category

Business & Professionals

Accessible to any professional — available with individual course access or the Business / All Access bundle.

Beginner level

Suitable for beginners

No prior knowledge needed. The course starts from scratch and builds step by step.

Always up to date

Up-to-date content

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

27 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Curriculum

10 modules, 27 lessons — structured to learn step by step.

10 modules
27 lessons
~24h of content
Interactive quizzes
Free preview available What Conversational AI Can and Cannot Do With Your Data
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1 Free preview lesson What Conversational AI Can and Cannot Do With Your Data
Read the preview
2 The Verification Mindset: Why You Never Blindly Trust AI Output
50 min
3 The 2026 Tool Landscape: ChatGPT, Copilot, Gemini, and When to Use Each
50 min
1 Your First File in ChatGPT: Upload, What the Model "Sees", and the Real Limits
56 min
2 Cleaning data with prompts: missing values, duplicates, inconsistent formats
57 min
3 Descriptive statistics and charts from prompts: mean, distributions, trends
58 min
1 The Good-Question Framework: From "How's the Business Doing" to an Analyzable Request
55 min
2 Data Prompts That Work: Structure, Context, Anti-Ambiguity
53 min
3 Iteration and follow-up: refine the result in dialogue, without starting over
51 min
1 Copilot in Excel, honestly: what it is, what it does and why it is NOT free
54 min
2 The COPILOT() Function in a Cell: Summaries, Classifications, and Extractions from Natural Language
56 min
3 Natural-Language Formulas, Pivots, and Insights with Copilot — and What You Always Verify
55 min
1 No Copilot license? Analyze the same Excel file directly in ChatGPT
54 min
2 The Excel ↔ ChatGPT workflow in practice: export, analyze, reimport, and reuse
53 min
1 What a Database Is and Why SQL Matters (Even If You Never Write It)
53 min
2 Text-to-SQL: How a Natural-Language Question Becomes a Query
57 min
3 When Text-to-SQL Is Reliable and When It Is NOT: Pitfalls, Ambiguity, and Verification
54 min
1 Anatomy of a Data Hallucination: Invented Columns, Aggregations, and Hidden Assumptions
56 min
2 The 5-step verification protocol: sanity check, sample, recalculation, counter-question
57 min
3 The limits of the models and human responsibility: when NOT to use AI on data
52 min
1 GDPR in a nutshell for AI data analysis: what personal data is and why it matters
54 min
2 Public tier vs Enterprise: DPAs, data retention, and how NOT to train the vendor's model "for free"
55 min
3 Synthetic Data and Anonymization in Practice: Work Safely, Anytime
53 min
1 The Project Brief and Synthetic Data: Preparing an "Orders + Clients" Dataset
54 min
2 Executing the Analysis: Cleaning, Statistics, Segmentation, and Charts End-to-End
58 min
3 Verification, the Final Report, and the Course Recap: A Trustworthy Deliverable
56 min
1 Official Resources, 2026 Updates, and Learning Paths
35 min
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27 hands-on lessons Content updated regularly AI professor included in your subscription