Learn how to use AI tools to transform your work as a data analyst. Discover practical techniques for SQL generation, data cleaning, building dashboards, and communicating insights. No extra coding required.
If you are a student learning data analysis, this free course teaches you the AI-assisted workflow real analysts use, so you build the skill and the AI habits at the same time. You will learn how to write SQL queries, clean messy datasets, format reports, and turn numbers into narratives, using AI tools like ChatGPT and Claude to move faster and understand each step as you go. You will start with the fundamentals of how AI fits into the analyst workflow, then move into hands-on practice with SQL generation, Excel and Google Sheets formulas, Pandas code, and data cleaning techniques.
Working analysts get the same value from a different angle: instead of learning the basics, you reclaim the hours lost to repetitive tasks so you can focus on the thinking that actually requires your expertise. The course steps into more advanced territory: using AI to support exploratory data analysis, build Tableau and Power BI dashboards, run statistical interpretation, and write the stakeholder-ready reports that often take hours to polish. A dedicated module covers building custom GPTs and Claude Projects tailored to analyst work, chaining AI workflows in notebooks, and the critical skill of validating AI output so you avoid costly mistakes.
This course is designed for both students learning data analysis for the first time and practising analysts who already work with data but want to move faster and communicate more clearly. No extra coding background is required beyond what you use today. Finish all the modules and pass the final exam to earn a certificate of completion you can add to your LinkedIn profile or resume.
4 modules • 15 lessons
Finish every lesson and pass the final exam to earn this free, shareable certificate.
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June 15, 2026
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The course spans four modules: AI fundamentals for analysts, hands-on AI for daily tasks like SQL and data cleaning, automating analyst workflows including dashboards and stakeholder reports, and advanced topics such as custom GPTs and chained AI notebooks. Every lesson is grounded in real analyst work rather than abstract theory.
Yes, the course is completely free. You can work through all modules at your own pace, and completing the course plus the final exam earns you a certificate of completion at no cost.
No. It works for students learning data analysis for the first time as well as working analysts.
No extra coding background is required. The course is aimed at analysts who already use SQL, Excel, or Python in their day-to-day work and want to use AI to do those same tasks faster. A lesson on writing Pandas code with AI is included, but you do not need prior Python experience to follow along.
The course focuses on ChatGPT and Claude as the primary AI assistants, applied to tools analysts already use: SQL environments, Excel and Google Sheets, Pandas, Tableau, and Power BI. A dedicated lesson covers building custom GPTs and Claude Projects specifically configured for analyst workflows.
Yes. Completing all the lessons and passing the final exam earns you a certificate of completion that you can share on LinkedIn or include on your resume to demonstrate your AI skills to employers or clients.
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