Generative AI for Data Analytics: Ride the Agentic Wave

Thought leadership course on how Gen AI transforming Data & Analytics with hands-on examples

I think by now everyone in Udemy knows how to use ChatGPT or Co-pilot. So, this course is not about “how to use ChatGPT”. Rather, it is a course by a Data Scientist for other peers or AI enthusiasts out there on how to use real robust Gen AI tools to solve a real problem and how to deliver your data product faster. At the same time learn the challenges you might face in implementing Gen AI in data analytics. Also know where we are heading towards in future, what to learn to adapt ourselves in this AI driven rapid transformative journey.

What you’ll learn

  • Tools and Techniques to be used in Data Analytics.
  • Using Gen AI to streamline Data Analytics pipeline: Obtain, Scrub, Explore, Model and Interpret.
  • Generative AI to generate code to analyze data.
  • How to increase their productivity in day-to-day data analytics work.
  • Generative AI to develop deployment-ready data products.

Course Content

  • Introduction and Basics –> 4 lectures • 11min.
  • Impact and Adoption –> 5 lectures • 25min.
  • Journey and Transformation –> 4 lectures • 20min.
  • Conceptual Frameworks for Gen AI in Data Analytics –> 5 lectures • 28min.
  • Code Generation with Prompt Engineering –> 5 lectures • 32min.
  • Retrieval Augmented Generation (RAG) for Data Analytics –> 5 lectures • 22min.
  • From Code to UI: Streamlit RAG App in Action –> 5 lectures • 31min.
  • Agentic Design Pattern for Data Analytics –> 5 lectures • 34min.

Generative AI for Data Analytics: Ride the Agentic Wave

Requirements

I think by now everyone in Udemy knows how to use ChatGPT or Co-pilot. So, this course is not about “how to use ChatGPT”. Rather, it is a course by a Data Scientist for other peers or AI enthusiasts out there on how to use real robust Gen AI tools to solve a real problem and how to deliver your data product faster. At the same time learn the challenges you might face in implementing Gen AI in data analytics. Also know where we are heading towards in future, what to learn to adapt ourselves in this AI driven rapid transformative journey.

I will walk you through, from problem statement to data acquisition to exploration to transformation and then finally to model and interpret steps using Gen AI tools. You will learn how to iterate faster, experiment faster, develop faster and deliver quicker. You will never feel the urgency of learning “syntax”. If you have the “concepts“, you will be able to deliver. This course will teach you how to unload the burden of learning-unlearning of “yet another ML library”. Once you know one language, you just transfer those concepts to a new language and let Gen AI generate that for you. You learn how to “delegate” your tasks to “AI Agents” and “elevate” yourselves to do much challenging and rewarding one. We will see this in action on this course.

I think Gen AI here is the “accelerator”, and you are still the “pilot” taking decision in every step of the process. I hope you will enjoy the journey with me, let’s fly together!

By the way, this course description is not generated by any machine!

Thanks for reading!

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