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
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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
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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 videos•Total 80 minutes
- Course Introduction•3 minutes
- Meet Your Experts•4 minutes
- Generative AI and Data Science•4 minutes
- Expert Viewpoints: Generative AI in Data Science•8 minutes
- Generative AI's Impact Across Industries•8 minutes
- Expert Viewpoints: Skills for Data Professionals to Leverage Gen AI•5 minutes
- Leveraging Generative AI in Data Science Lifecycle•7 minutes
- Types of Generative AI Models•7 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•8 minutes
- Demo: Generative AI for Data Preparation•6 minutes
- Demo: Generative AI for Querying Databases•5 minutes
3 readings•Total 8 minutes
- Course Syllabus and Prerequisites•5 minutes
- Disclaimer: Demo: Generative AI for Data Generation and Augmentation •1 minute
- 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 videos2 readings3 assignments4 app items5 plugins
8 videos•Total 49 minutes
- Demo: Generative AI for Data Insights •6 minutes
- 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•8 minutes
- Considerations While Using Generative AI in Industries•6 minutes
- Challenges While Using Generative AI•7 minutes
- Expert Viewpoints: Ethical Considerations and Challenges Around Gen AI•8 minutes
2 readings•Total 12 minutes
- Important Note: Generative AI Tool Access Update•10 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
5 plugins•Total 141 minutes
- Hands-on Lab: Generative AI for Data Visualization•60 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 13 minutes
- Expert Viewpoints: Wrap-Up•8 minutes
- Generative AI for Data Science Skills•5 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
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Reviewed on Feb 8, 2024
Good overview. Needs regular updates due to rapidly changing AI tool landscape.
Reviewed on Nov 16, 2025
It is greate to know the GEN AI tools and their importance to ease the data analysis process
Reviewed on May 2, 2024
Amazing Course ! Special thanks to Course Creators and to IBM
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