ChatGPT for Data Analytics

AI is changing the world around us, and completely revolutionizing the way we work.

As data professionals, we now have access to tools that give us superpowers to work smarter and faster than ever before.

In this course we’ll introduce you to the world of deep learning and generative AI, explore the rapid rise of large language models like ChatGPT and Gemini, and get you up and running with free tools that will take your skills and productivity to the next level.

We’ll dive into the art of prompt engineering, review tips and best practices for generating consistent, accurate model outputs, and address common limitations and pitfalls to be aware of.

From there, we’ll walk through some of the most powerful and practical ChatGPT use cases for data science and analytics, with instructor-led demos in Excel, Google Sheets, Power BI, SQL and Python.

You’ll practice using ChatGPT to explain and interpret code, generate formulas from scratch, diagnose and troubleshoot errors, optimize complex queries, automate manual tasks, and much more.

This course is beginner-friendly, and designed for anyone who wants to leverage modern technology to work more efficiently, and make smarter, data-driven decisions.

WHO SHOULD TAKE THIS COURSE?

• Data professionals who want to stay ahead of the skills curve and leverage AI to work smarter and more efficiently

• Excel, Sheets, Power BI, SQL or Python users looking for practical tips and case studies for working with ChatGPT and Google Bard

• Analysts or Data Scientists looking for a brief history of artifical intelligence, deep learning and large language models

WHAT ARE THE COURSE REQUIREMENTS?

• This is a beginner-friendly course (no advance preparation required)

• Excel, Sheets, Power BI, SQL and Python will be used for course demos, but you do not need access to these tools to follow along