Discover how generative AI is reshaping the way data is analysed and interpreted. Introducing the Generative AI in Data Analysis course on March 17th, 2027. This online, day long training helps participants judge which analytical tasks are genuinely suited to GenAI assistance, apply prompt engineering to get precise, usable output, and run a full mini analysis from data exploration through to summary. Participants will also learn to catch inaccurate or hallucinated output and build a simple QA process to validate GenAI assisted work before relying on it.
Learning Objectives
By the end of this course, participants will be able to:
- Evaluate which analytical tasks are well-suited to GenAI assistance versus those requiring traditional methods
- Apply prompt-engineering techniques to extract a specific, usable analytical output from a GenAI tool
- Execute an end-to-end mini analysis (data exploration to summary) using a GenAI-assisted workflow
- Assess GenAI-generated output for accuracy, hallucination risk, and reliability against a known-answer check
- Design a lightweight QA process for validating GenAI-assisted analysis before use
Faculty
Sharyar Irfan
Senior FP&A Analyst (Europe Region)
Sharyar Irfan is a Senior FP&A Analyst based in the United Kingdom, with over a decade of experience in financial planning, analysis, and business partnering across global industries including enterprise software, manufacturing, retail FMCG, and professional services. He currently works in FP&A for the Europe region at IFS, a multinational enterprise software company, where he specialises in forecasting, financial modelling, KPI design, and strategic insight for senior leadership.
He holds a First‑Class BSc (Econ) from the University of Buckingham, an MBA with Distinction from Bangor University, and is a qualified ACMA, CGMA and Chartered Banker. His professional background includes group level analytical roles at PTT GC – Matrix Polymers and Countrywide/Connells Group, where he delivered reporting automation, budgeting & forecasting frameworks, and performance management systems.
Sharyar is passionate about mentoring and advancing evidence based decision making, with a growing focus on GenAI enabled analytical workflows and capacity building for emerging professionals.
Deadlines
- Early Bird: 26 February 2027
- Regular: 09 March 2027