Generative AI: Elevate Your Data Science Career

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Generative AI: Elevate Your Data Science Career

This course is part of multiple programs.

Instructor: Rav Ahuja

45,419 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

277 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

277 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

What you'll learn

Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data
Examine real-world scenarios where generative AI can enhance data science workflows
Practice generative AI skills in hand-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

Skills you'll gain

Category: Feature Engineering
Category: Data Synthesis
Category: Generative Model Architectures
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Data Ethics
Category: Data Visualization Software
Category: Responsible AI
Category: Data Science
Category: Predictive Modeling

Tools you'll learn

Category: Generative Adversarial Networks (GANs)
Category: Autoencoders
Category: Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

Generative AI is now mainstream. Boost your career with a course that features leading-edge, in-demand, generative AI skills tuned to the needs of data scientists.

This course is suitable for existing and aspiring data scientists, data professionals, analysts, and engineers. The course addresses real-world data science problems data scientists encounter—across multiple industries— with data generation, data augmentation, and feature engineering. Gain skills you can immediately put to use implementing generative AI models and techniques that address these real-world issues. Then, learn how to use generative AI to speed data visualizations, build models and to produce data insights. You’ll also learn about key ethics considerations around generative AI and data, key concerns for executives across industries. Demonstrate your new generative AI skills in a hands-on data augmentation and feature engineering project that you can apply in your real-life profession. Then complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.

In this module, you will explore the role of generative AI in data science. Lesson 1 introduces you to generative AI and how it can serve various purposes in the hands of data scientists. You will learn about the four common types of generative AI models and their impact and applications across diverse industries. Lesson 2 will cover how data scientists can leverage generative AI in the data science lifecycle. You will learn how data scientists can effectively use generative AI to perform data generation, data preparation, data querying, and data augmentation. You will also learn about data preparation and querying challenges and how generative AI models can help tackle these challenges.

What's included

14 videos3 readings3 assignments2 app items1 discussion prompt7 plugins

14 videosTotal 80 minutes

Course Introduction3 minutes
Meet Your Experts4 minutes
Generative AI and Data Science4 minutes
Expert Viewpoints: Generative AI in Data Science8 minutes
Generative AI's Impact Across Industries8 minutes
Expert Viewpoints: Skills for Data Professionals to Leverage Gen AI5 minutes
Leveraging Generative AI in Data Science Lifecycle7 minutes
Types of Generative AI Models7 minutes
Expert Viewpoints: Generative AI Tools for Data Scientists4 minutes
Demo: Generative AI for Data Generation and Augmentation 7 minutes
Generative AI for Data Preparation and Data Querying 5 minutes
Expert Viewpoints: Gen AI for Data Preparation and Data Querying8 minutes
Demo: Generative AI for Data Preparation6 minutes
Demo: Generative AI for Querying Databases5 minutes

3 readingsTotal 8 minutes

Course Syllabus and Prerequisites5 minutes
Disclaimer: Demo: Generative AI for Data Generation and Augmentation 1 minute
Module 1 Summary: Data Science and Generative AI 2 minutes

3 assignmentsTotal 50 minutes

Lesson 1: Generative AI in Data Science10 minutes
Lesson 2: Generative AI for Data Preparation and Querying10 minutes
Module 1: Data Science and Generative AI30 minutes

2 app itemsTotal 60 minutes

Hands-on Lab: Generative AI for Data Preparation 30 minutes
Hands-on Lab: Generative AI for Querying Databases30 minutes

1 discussion promptTotal 3 minutes

[Optional] Leveraging Generative AI in Data Science 3 minutes

7 pluginsTotal 86 minutes

Helpful Tips for Course Completion3 minutes
Reading: Generative AI Tools for Data Scientists6 minutes
Reading: Guide to Choosing a Generative AI Model Type10 minutes
Case Study: Successful Implementation of Generative AI 4 minutes
Hands-on Lab: Explore a Simple Generative Tool30 minutes
Hands-on Lab: Generative AI for Data Generation and Augmentation 30 minutes
Module 1 Cheatsheet: Data Science and Generative AI3 minutes

In this module, you will explore the role of generative AI in data science. Lesson 1 will cover generative AI for understanding data and model building. You will learn how data scientists can use generative AI to visualize, develop, and build models. Lesson 2 will cover the use of generative AI for data science regarding tools and techniques to help in exploratory data analysis (EDA) and develop a predictive model. You will learn about the industry-specific considerations while using generative AI and the challenges data scientists face. You will also learn about the skills data scientists require to succeed in their field and how generative AI can help them hone those skills in today’s world.

What's included

8 videos2 readings3 assignments4 app items5 plugins

8 videosTotal 49 minutes

Demo: Generative AI for Data Insights 6 minutes
Demo: Generative AI for Data Visualization 4 minutes
Generative AI Tools for Model Development6 minutes
Generative AI for Understanding Data and Model Development5 minutes
Expert Viewpoints : Gen AI for Understanding Data and Model Building8 minutes
Considerations While Using Generative AI in Industries6 minutes
Challenges While Using Generative AI7 minutes
Expert Viewpoints: Ethical Considerations and Challenges Around Gen AI8 minutes

2 readingsTotal 12 minutes

Important Note: Generative AI Tool Access Update10 minutes
Module 2 Summary: Use of Generative AI for Data Science2 minutes

3 assignmentsTotal 52 minutes

Lesson 1: Generative AI for Understanding Data and Model Building 12 minutes
Lesson 2: Generative AI Considerations for Data Professionals10 minutes
Module 2: Use of Generative AI for Data Science30 minutes

4 app itemsTotal 180 minutes

Hands-on Lab: Generative AI for Data Insights 30 minutes
(Optional): Hands-on Lab: Generative AI for Data Visualization 60 minutes
Hands-on Lab: Generative AI for Models Development30 minutes
Hands-on Lab: Considerations for Data Professionals using Gen AI60 minutes

5 pluginsTotal 141 minutes

Hands-on Lab: Generative AI for Data Visualization60 minutes
Hands-on Lab: Generative AI for Data Visualization60 minutes
Reading: Responsible Generative AI for Data Professionals10 minutes
Case Study: Considerations While Using Generative AI in Healthcare6 minutes
Module 2 Cheatsheet: Use of Generative AI for Data Science5 minutes

Enhance your data science with generative AI and complete the guided project and evaluation.

What's included

2 videos3 readings1 assignment1 app item1 plugin

2 videosTotal 13 minutes

Expert Viewpoints: Wrap-Up8 minutes
Generative AI for Data Science Skills5 minutes

3 readingsTotal 9 minutes

Review What You Learned5 minutes
Congratulations and Next Steps2 minutes
Thanks from the Course Team2 minutes

1 assignmentTotal 60 minutes

Final Exam: Generative AI for Data Science60 minutes

1 app itemTotal 60 minutes

Hands-on Lab: Final Project: Generative AI for Data Science60 minutes

1 pluginTotal 5 minutes

Reading: Final Project Overview5 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(57 ratings)

Rav Ahuja

IBM

49 Courses4,437,874 learners

Offered by

IBM

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5 stars
76.70%
4 stars
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3 stars
3.22%
2 stars
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1 star
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Showing 3 of 277

Reviewed on Sep 10, 2024

Its really helpful for beginners to apply AI tools

Reviewed on Mar 4, 2024

A must take course! Perfect for Data Scientists whether experienced or entry level.

Reviewed on Sep 22, 2025

The course is perfect to guide me in the GenAI space. Thanks to IBM for the course.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.