Mastering Generative AI for Data Science
Learn on
IntermediateCourse
This course helps you master generative AI skills to enhance data science workflows, improve data preparation, and refine machine learning models with real-world applications.
Language
- English
Topic
- Artificial Intelligence
Industries
- Information Technology
Enrollment Count
- 239
Skills You Will Learn
- Data Generation, Data Analysis, Generative AI, Artificial Intelligence, Data Science
Offered By
- IBMSkillsNetwork
Estimated Effort
- 3 weeks
Platform
- edX
Last Update
- September 13, 2025
About this Course
With generative AI transforming the data science landscape, mastering its applications is crucial to data science professionals. This course equips you with cutting-edge generative AI skills tailored to the needs of a data scientist.
Through real-world scenarios, you will explore the use of generative AI throughout the data science lifecycle. Starting with data querying and preparation, you will learn how to leverage generative AI to generate, augment, and refine the data. You will also apply advanced AI techniques to develop and refine machine learning models while exploring ethical implications.
This course is designed for existing data scientists, data professionals, analysts, and engineers looking to thrive in the evolving AI landscape.
You’ll gain hands-on experience using generative AI tools, culminating in a course-end project that simulates a real-world scenario. Your project would make an excellent addition to prospective employers. Finally, you’ll also be completing a final quiz to obtain your certificate,
A basic understanding of generative AI, prompt engineering, and data science is essential to complete this course successfully.
Through real-world scenarios, you will explore the use of generative AI throughout the data science lifecycle. Starting with data querying and preparation, you will learn how to leverage generative AI to generate, augment, and refine the data. You will also apply advanced AI techniques to develop and refine machine learning models while exploring ethical implications.
This course is designed for existing data scientists, data professionals, analysts, and engineers looking to thrive in the evolving AI landscape.
You’ll gain hands-on experience using generative AI tools, culminating in a course-end project that simulates a real-world scenario. Your project would make an excellent addition to prospective employers. Finally, you’ll also be completing a final quiz to obtain your certificate,
A basic understanding of generative AI, prompt engineering, and data science is essential to complete this course successfully.
Course Learning Objectives
- Leverage various tools like GPT 3.5, ChatCSV, tomat.ai, and so on, available for data scientists working with generative AI for querying and preparing data
- Examine real-world scenarios where generative AI can enhance data science workflows
- Practice generative AI skills in hands-on labs and projects by generating and augmenting datasets for specific use cases
- Apply generative AI techniques in the development and refinement of machine learning models
Course Syllabus
Module 1: Data Science and Generative AI
- Video: Generative AI and Data Science
- Reading: Generative AI Tools for Data Scientists
- Video: Generative AI's Impact Across Industries
- Video: Leveraging Generative AI in Data Science Lifecycle
- Video: Types of Generative AI Models
- Reading: Guide to Choosing a Generative AI Model Type
- Reading: Case Study: Successful Implementation of Generative AI
- Lab: Explore a Simple Generative Tool
- Demo Video: Generative AI for Data Generation and Augmentation
- Lab: Generative AI for Data Generation and Augmentation
- Video: Generative AI for Data Preparation and Data Querying
- 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
Module 2: Use of Generative AI for Data Science
- 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 Tools for Model Development
- Lab: Generative AI for Model Development
- Video: Generative AI for Understanding Data and Model Development
- 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 3: Final Project and Exam
- Reading: Final Project Overview
- Lab: Final Project: Generative AI for Data Science
- Final Exam Instructions
- Final Exam
Recommended Skills Prior to Taking this Course
A basic understanding of generative AI, prompt engineering, and data science is essential to complete this course successfully.
Language
- English
Topic
- Artificial Intelligence
Industries
- Information Technology
Enrollment Count
- 239
Skills You Will Learn
- Data Generation, Data Analysis, Generative AI, Artificial Intelligence, Data Science
Offered By
- IBMSkillsNetwork
Estimated Effort
- 3 weeks
Platform
- edX
Last Update
- September 13, 2025
Instructors
Abhishek Gagneja
Freelance Subject Matter Expert
I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.
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