Prompt Engineering for Data Analyst
What you'll learn
t you'll learn
Understand the fundamentals of prompt engineering for data analysis.
Learn how to structure prompts using context, role, input, steps, rules, and presentation.
Write prompts that help AI generate more accurate data cleaning, SQL, and analysis outputs.
Learn how to provide column definitions, data quirks, and examples to reduce AI hallucinations.
Use AI effectively for data cleaning and Exploratory Data Analysis (EDA).
Why this topic matters
AI is becoming part of everyday data analysis. Strong prompt engineering helps analysts get more accurate, useful, and reliable results from AI for tasks like data cleaning, SQL, EDA, and reporting.
You'll learn from
Analytics professional with around six years of experience across consulting and product companies, with experience at Swiggy, Pocket FM, and True Balance. He specializes in analytics and data-driven decision-making, with hands-on experience working in fast-paced product environments.