SQL + GenAI for Practical Data Analysis
Solve real data problems, debug queries, and work smarter with AI-Assisted Workflows
Hands-on, case-based workshop | Real datasets | GenAI-assisted workflows without dependency
This is a 4-hour, hands-on SQL workshop focused on one thing: helping you solve real-world data problems with confidence.
Most people know SQL syntax but struggle when faced with actual business questions. This session bridges that gap. You’ll learn how to break down problems, understand unfamiliar datasets, choose the right joins, build queries step by step, and debug results when things go wrong, all through a practical, case-based approach. Importantly, you’ll also learn how to validate whether your output is actually correct and answers the business question, not just whether the query runs.
This is not a watch-only session. You’ll actively write SQL, work through realistic exercises, and develop a repeatable problem-solving framework you can apply in your day-to-day work.
We’ll also show you how to use GenAI tools like ChatGPT to translate business questions into SQL, speed up debugging, and improve productivity, without becoming dependent on them, so you stay in control.
By the end of the workshop, you’ll have a clearer approach to solving SQL problems, stronger debugging skills, and greater confidence writing queries independently.
Who this is for
- People who know SQL basics but struggle with real-world problems
- Analysts looking to become more structured and confident
- Anyone who wants to stop copying queries and start understanding them
What you’ll take away
- A practical framework for solving SQL problems step by step
- A hands-on learning experience built around realistic examples
- Better confidence with joins, aggregations, debugging, and query structure
- A clearer way to use LLMs without becoming dependent on them
- How to use GenAI to translate business questions into SQL faster, debug issues, and improve productivity, while staying in control
- Techniques you can apply immediately in your day to day SQL work
Giveaways
- Free bestselling eBook (SQL for Data Analytics, 4th Edition)
- Reusable SQL problem-solving framework
- Real-world practice datasets and examples
- GenAI prompt templates for SQL workflows
- Debugging and query structuring checklist
Pre-requisites
- Basic familiarity with SQL (SELECT, WHERE, GROUP BY). No advanced knowledge required.
Solve real data problems, debug queries, and work smarter with AI-Assisted Workflows
Hands-on, case-based workshop | Real datasets | GenAI-assisted workflows without dependency
This is a 4-hour, hands-on SQL workshop focused on one thing: helping you solve real-world data problems with confidence.
Most people know SQL syntax but struggle when faced with actual business questions. This session bridges that gap. You’ll learn how to break down problems, understand unfamiliar datasets, choose the right joins, build queries step by step, and debug results when things go wrong, all through a practical, case-based approach. Importantly, you’ll also learn how to validate whether your output is actually correct and answers the business question, not just whether the query runs.
This is not a watch-only session. You’ll actively write SQL, work through realistic exercises, and develop a repeatable problem-solving framework you can apply in your day-to-day work.
We’ll also show you how to use GenAI tools like ChatGPT to translate business questions into SQL, speed up debugging, and improve productivity, without becoming dependent on them, so you stay in control.
By the end of the workshop, you’ll have a clearer approach to solving SQL problems, stronger debugging skills, and greater confidence writing queries independently.
Who this is for
- People who know SQL basics but struggle with real-world problems
- Analysts looking to become more structured and confident
- Anyone who wants to stop copying queries and start understanding them
What you’ll take away
- A practical framework for solving SQL problems step by step
- A hands-on learning experience built around realistic examples
- Better confidence with joins, aggregations, debugging, and query structure
- A clearer way to use LLMs without becoming dependent on them
- How to use GenAI to translate business questions into SQL faster, debug issues, and improve productivity, while staying in control
- Techniques you can apply immediately in your day to day SQL work
Giveaways
- Free bestselling eBook (SQL for Data Analytics, 4th Edition)
- Reusable SQL problem-solving framework
- Real-world practice datasets and examples
- GenAI prompt templates for SQL workflows
- Debugging and query structuring checklist
Pre-requisites
- Basic familiarity with SQL (SELECT, WHERE, GROUP BY). No advanced knowledge required.
Lineup
Silvia W
Dr Emmanuel Ogungbemi
Good to know
Highlights
- 4 hours
- Online
Refund Policy
Location
Online event
Agenda
How people get stuck with SQL
SQL often feels simple when you are learning syntax, but becomes much harder when applied to real-world problems. In this session, we explore why that gap exists, the difference between knowing commands and solving business questions, and what strong SQL problem-solving actually looks like in practice.
A simple, practical framework for solving any SQL problem
Before writing any code, it is critical to structure your thinking. You will learn how to break down business questions, identify the required output, determine relevant tables, joins, filters, and level of detail, and approach SQL problems step by step instead of guessing your way through queries.
Understanding the data (properly)
Strong SQL starts with understanding the data. This session focuses on how to quickly read tables and schemas, identify keys and relationships with confidence, and detect common data issues such as duplicates, missing values, and incorrect joins that can lead to misleading results.