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IBM

Mastering Generative AI for Data Analytics

IBM via edX

Overview

Currently 82% of global companies are either using or exploring the use of AI in their organization (Website: Exploding Topics),. Generative AI skills are now essential career skills.

Stay current by unlocking the power of generative AI in data analytics, using cutting-edge models and tools for deeper insights. Designed for both aspiring and experienced data analysts, this course requires basic familiarity with data analytics, prompt engineering, Python, and generative AI. You'll explore core concepts, industry applications, and ethical considerations while mastering techniques like prompting, visualization, storytelling, and querying.

Through hands-on labs, you'll gain practical experience with leading generative AI tools including ChatGPT, ChatCSV, Mostly.AI, and SQLthroughAI. Evaluate your knowledge using practice quizzes and prove your knowledge to others by passing the graded assessments. You'll apply your knowledge in a real-world, shareable data analytics project that you can share with prospective employers. Upon completion of this course, share your verified course certificate with your professional connections and prospective employers.

Enroll today to transform data into actionable insights using generative AI.

Syllabus

Syllabus

Module 0: Welcome

  • Video: Course Introduction
  • General Information
  • Learning Objectives and Course Syllabus
  • Grading Scheme
  • Helpful Tips for Course Completion

Module 1: Data Analytics and Generative AI

  • Module Introduction and Learning Objectives
  • Video: Generative AI for Data Analytics
  • Reading: Generative AI Tools for Data Analytics
  • Video: Examples of Generative AI in Data Analytics
  • Reading: Case Study on Successful Implementations of Generative AI in Data Analytics
  • Lab: Explore a Simple Generative Tool
  • Discussion Prompt: Discuss How Generative AI Can Be Used in Data Analytics
  • Reading: Leveraging Generative AI in Data Analytics Process
  • Demo Video: Generative AI for Data Generation and Augmentation
  • Lab: Generative AI for Data Generation and Augmentation
  • Demo Video: Generative AI for Data Preparation
  • Lab: Generative AI for Data Preparation
  • Demo Video: Generative AI for Querying Databases
  • Lab: Generative AI for Querying Databases
  • Video: Generative AI for Q and A Model Insights
  • Lab: Generative AI for Q and A Model Insights
  • Video: Successful Implementations of Generative AI for Data Preparation and Insights
  • Reading: Using Microsoft Copilot
  • Module 1 Practice Quiz: Data Analytics and Generative AI
  • Module 1 Summary: Data Analytics and Generative AI
  • Module 1 Cheat Sheet: Data Analytics and Generative AI
  • Module 1 Graded Quiz: Data Analytics and Generative AI

Module 2: Use of Generative AI for Data Analytics

  • Module Introduction and Learning Objectives
  • Demo Video: Generative AI for Data Insights
  • Lab: Generative AI for Data Insights
  • Demo Video: Generative AI for Data Visualization
  • Lab: Generative AI for Data Visualization
  • Video: Generative AI for Creating Dashboards
  • Lab: Generative AI for Creating Dashboards
  • Video: Generative AI for Storytelling
  • Lab: Generative AI for Storytelling
  • Discussion Prompt: Dashboarding and Storytelling with Generative AI
  • Video: Successful Implementations of Generative AI for Data Visualization and Storytelling
  • Video: Considerations While Using Generative AI in Industries
  • Video: Challenges While Using Generative AI

Reading: Responsible Generative AI for Data Professionals

Case Study: Considerations While Using Generative AI in Healthcare

  • Lab: Considerations for Data Professionals Using Gen AI
  • Module 2 Practice Quiz: Use of Generative AI for Data Analytics
  • Module 2 Summary: Generative AI for Data Visualization and Storytelling
  • Module 2 Cheat Sheet: Use of Generative AI for Data Analytics
  • Module 2 Graded Quiz: Use of Generative AI for Data Analytics

Final Project and Exam

  • Reading: Guided Practice Project Overview
  • Lab: Guided Practice Project
  • Final Exam

Course Wrap-Up

  • Video: Enhancing Your Data Analyst Career with Generative AI
  • Reading: Congratulations and Next Steps
  • Reading: Team and Acknowledgments

Copyrights and Trademarks

  • Course Rating and Feedback
  • Course Rating and Feedback

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Taught by

Rav Ahuja and Abhishek Gagneja

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