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Generative AI: Elevate Your Data Science Career
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  2. Data Science
  3. Data Analysis
IBM

Generative AI: Elevate Your Data Science Career

This course is part of multiple programs.

This course is part of multiple programs

IBM Data Science Professional Certificate
Generative AI for Data Scientists Specialization
Rav Ahuja
Abhishek Gagneja
Dr. Pooja

Instructors: Rav Ahuja

Instructors

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.5 (41 ratings)
Rav Ahuja
Rav Ahuja
IBM
57 Courses•3,973,436 learners
Abhishek Gagneja
Abhishek Gagneja
IBM
6 Courses•215,171 learners
Dr. Pooja
Dr. Pooja
IBM
4 Courses•350,871 learners

27,992 already enrolled

Included with Coursera Plus

•Learn more
3 modules
Gain insight into a topic and learn the fundamentals.
4.6

(203 reviews)

Intermediate level

Recommended experience

Recommended experience

Intermediate level

An introductory knowledge of generative AI, prompt engineering, and data science would be beneficial.

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course

3 modules
Gain insight into a topic and learn the fundamentals.
4.6

(203 reviews)

Intermediate level

Recommended experience

Recommended experience

Intermediate level

An introductory knowledge of generative AI, prompt engineering, and data science would be beneficial.

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course
  • About
  • Outcomes
  • Modules
  • Recommendations
  • Testimonials
  • Reviews

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

  • Data Modeling
  • Data Manipulation
  • Exploratory Data Analysis
  • Predictive Modeling
  • Data Science
  • Generative AI
  • Data Cleansing
  • Data Storytelling
  • Data Visualization Software
  • Data Presentation
  • Data Ethics
  • Predictive Analytics
  • Feature Engineering
  • Natural Language Processing
  • Data Analysis
  • Data Synthesis

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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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 videos2 readings3 assignments2 app items1 discussion prompt7 plugins

14 videos•Total 80 minutes
  • Course Introduction•2 minutes•Preview module
  • Meet Your Experts•4 minutes
  • Generative AI and Data Science•3 minutes
  • Expert Viewpoints: Generative AI in Data Science•7 minutes
  • Generative AI's Impact Across Industries•7 minutes
  • Expert Viewpoints: Skills for Data Professionals to Leverage Gen AI•5 minutes
  • Leveraging Generative AI in Data Science Lifecycle•6 minutes
  • Types of Generative AI Models•6 minutes
  • Expert Viewpoints: Generative AI Tools for Data Scientists•4 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 Querying•7 minutes
  • Demo: Generative AI for Data Preparation•5 minutes
  • Demo: Generative AI for Querying Databases•5 minutes
2 readings•Total 7 minutes
  • Course Syllabus and Prerequisites•5 minutes
  • Module 1 Summary: Data Science and Generative AI   •2 minutes
3 assignments•Total 50 minutes
  • Module 1: Data Science and Generative AI•30 minutes
  • Lesson 1: Generative AI in Data Science•10 minutes
  • Lesson 2: Generative AI for Data Preparation and Querying•10 minutes
2 app items•Total 60 minutes
  • Hands-on Lab: Generative AI for Data Preparation •30 minutes
  • Hands-on Lab: Generative AI for Querying Databases•30 minutes
1 discussion prompt•Total 3 minutes
  • [Optional] Leveraging Generative AI in Data Science •3 minutes
7 plugins•Total 86 minutes
  • Helpful Tips for Course Completion•3 minutes
  • Reading: Generative AI Tools for Data Scientists•6 minutes
  • Reading: Guide to Choosing a Generative AI Model Type•10 minutes
  • Case Study: Successful Implementation of Generative AI •4 minutes
  • Hands-on Lab: Explore a Simple Generative Tool•30 minutes
  • Hands-on Lab: Generative AI for Data Generation and Augmentation •30 minutes
  • Module 1 Cheatsheet: Data Science and Generative AI•3 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 videos1 reading3 assignments4 app items4 plugins

8 videos•Total 49 minutes
  • Demo: Generative AI for Data Insights •5 minutes•Preview module
  • Demo: Generative AI for Data Visualization •4 minutes
  • Generative AI Tools for Model Development•6 minutes
  • Generative AI for Understanding Data and Model Development•5 minutes
  • Expert Viewpoints : Gen AI for Understanding Data and Model Building•7 minutes
  • Considerations While Using Generative AI in Industries•5 minutes
  • Challenges While Using Generative AI•6 minutes
  • Expert Viewpoints: Ethical Considerations and Challenges Around Gen AI•7 minutes
1 reading•Total 2 minutes
  • Module 2 Summary: Use of Generative AI for Data Science•2 minutes
3 assignments•Total 52 minutes
  • Module 2: Use of Generative AI for Data Science•30 minutes
  • Lesson 1: Generative AI for Understanding Data and Model Building •12 minutes
  • Lesson 2: Generative AI Considerations for Data Professionals•10 minutes
4 app items•Total 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 Development•30 minutes
  • Hands-on Lab: Considerations for Data Professionals using Gen AI•60 minutes
4 plugins•Total 81 minutes
  • Hands-on Lab: Generative AI for Data Visualization•60 minutes
  • Reading: Responsible Generative AI for Data Professionals•10 minutes
  • Case Study: Considerations While Using Generative AI in Healthcare•6 minutes
  • Module 2 Cheatsheet: Use of Generative AI for Data Science•5 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 videos•Total 12 minutes
  • Expert Viewpoints: Wrap-Up•8 minutes•Preview module
  • Generative AI for Data Science Skills•4 minutes
3 readings•Total 9 minutes
  • Review What You Learned•5 minutes
  • Congratulations and Next Steps•2 minutes
  • Thanks from the Course Team•2 minutes
1 assignment•Total 60 minutes
  • Final Exam: Generative AI for Data Science•60 minutes
1 app item•Total 60 minutes
  • Hands-on Lab: Final Project: Generative AI for Data Science•60 minutes
1 plugin•Total 5 minutes
  • Reading: Final Project Overview•5 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.

Instructors

Instructor ratings

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.5 (41 ratings)
Rav Ahuja
Rav Ahuja
IBM
57 Courses•3,973,436 learners

Instructors

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.5 (41 ratings)
Rav Ahuja
Rav Ahuja
IBM
57 Courses•3,973,436 learners
Abhishek Gagneja
Abhishek Gagneja
IBM
6 Courses•215,171 learners
Dr. Pooja
Dr. Pooja
IBM
4 Courses•350,871 learners

Offered by

IBM

Offered by

IBM

At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.

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Learner reviews

4.6

203 reviews

  • 5 stars

    76.96%

  • 4 stars

    15.68%

  • 3 stars

    2.45%

  • 2 stars

    1.47%

  • 1 star

    3.43%

Showing 3 of 203

N
NK
5

Reviewed on Jun 23, 2025

The course is okay. There is too much content to cover in a short period of time, and most of it is just a basic introduction to the tools.

L
LS
5

Reviewed on May 2, 2024

Amazing Course ! Special thanks to Course Creators and to IBM

M
MC
5

Reviewed on May 13, 2024

Labs are good to practice using datasets for preparing and querying datasets. I loved it!

View more reviews
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