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Keep shoppingAgentic way to Data Analytics: Streamline Analytics Pipeline
163 students
Agentic way to Data Analytics: Streamline Analytics Pipeline
Build & Deploy AI Agents to Automate Data Analytics Workflows with Python & LangChain
Created byDr. KM Mohsin
Last updated 5/2025
English
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
Explore related topics
Course content
8 sections • 38 lectures • 3h 22m total length
Requirements
- Basic Programming Skills - Python Recommended
- Foundational Knowledge in Data Analytics
- Familiarity with Machine Learning
- Mathematics Background will be highly helpful to grasp the analytic concepts
Description
By now you’ve probably played around with ChatGPT or Copilot—but this course isn’t another “how to prompt” tutorial. Designed by a practicing data scientist for fellow analysts and AI enthusiasts, it shows you how to leverage enterprise-grade generative AI tools to tackle real business problems and speed up your data-product delivery. You’ll also learn the common pitfalls of integrating GenAI into analytics workflows and discover what skills you’ll need to thrive as this technology continues to evolve.
Throughout the course, I’ll guide you step by step—from defining your problem and gathering data, through exploratory analysis and transformation, all the way to building and interpreting models with GenAI assistance. You’ll pick up strategies for:
Rapid iteration and experimentation
Minimizing syntax-learning headaches by focusing on core concepts
Offloading routine ML tasks to AI agents so you can focus on high-value work
Think of GenAI as your accelerator and yourself as the pilot—every decision is still yours, but now you move at warp speed. We’ll put all of this into practice with hands-on demonstrations, so by the end you’ll be delivering insights faster and with more confidence.
Ready to elevate your analytics game? Let’s take off together!
P.S. This course description wasn’t written by a machine—thank you for reading!
Who this course is for:
- Data Analysts: Seeking to increase their productivity. "Go faster"
- Machine Learning Engineers: Seeking to develop POC, MVP faster. "Deliver faster"
- Data Scientists: Want to use Gen AI to accelerate testing ideas. "Experiment faster"
- AI Enthusiasts: Wants to use AI for Data Analytics without knowing much of syntax. "I love low code, no code"
- Professionals in Finance, Healthcare, Marketing, etc.: Seeking innovative solutions for data-related challenges specific to their industry, such as privacy-preserving data sharing or generating realistic synthetic data for training models.