Generative AI: Enhance your Data Analytics Career

Generative AI: Enhance your Data Analytics Career

This course is part of multiple programs.

Instructor: IBM Skills Network Team

38,446 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

184 reviews

Intermediate level

Recommended experience

Flexible schedule

2 weeks 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.

184 reviews

Intermediate level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

What you'll learn

Describe how you can use Generative AI tools and techniques in the context of data analytics across industries
Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools
Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights
Analyze the ethical considerations and challenges associated with using Generative AI in data analytics

Skills you'll gain

Category: Generative Model Architectures
Category: Data Storytelling
Category: Data Processing
Category: Responsible AI
Category: Dashboard Creation
Category: Data Presentation
Category: SQL
Category: Interactive Data Visualization
Category: Data Ethics
Category: Prompt Engineering Tools
Category: Analytics
Category: Data Analysis
Category: AI literacy

Tools you'll learn

Category: Query Languages
Category: Dashboard
Category: Python Programming
Category: OpenAI
Category: Prompt Engineering
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

This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.

In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries. You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more. Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate. This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics. It requires some basic knowledge of data analytics, prompt engineering, Python programming and generative artificial intelligence.

This module introduces the role of Generative AI in data analytics. You will explore key tools and techniques used to generate, prepare, and analyze data, including data augmentation, database querying, and extracting insights through Q&A models. By the end of this module, you will understand how generative AI enhances data workflows and supports efficient decision-making.

What's included

12 videos8 readings3 assignments1 app item4 plugins

12 videosTotal 66 minutes

Course Introduction3 minutes
Meet Your Experts4 minutes
Generative AI for Data Analytics 4 minutes
Enhancing Data Analytics with Generative AI7 minutes
Expert viewpoints Generative AI Tools for Data Analytics4 minutes
Examples of Generative AI in Data Analytics 7 minutes
Demo: Generative AI for Data Generation and Augmentation 7 minutes
Demo: Generative AI for Data Preparation6 minutes
Demo: Generative AI for Querying Databases5 minutes
Generative AI for Q and A Model Insights 6 minutes
Successful Implementations of Generative AI for Data Preparation and Insights 6 minutes
Expert Viewpoints: Generative AI for Data Preparation and Insights7 minutes

8 readingsTotal 90 minutes

Course Syllabus and Prerequisites5 minutes
Helpful Tips for Course Completion10 minutes
Generative AI Tools for Data Analytics 15 minutes
Case Study on Successful Implementations of Generative AI in Data Analytics 15 minutes
Leveraging Generative AI in Data Analytics Process 15 minutes
Using Microsoft Copilot10 minutes
Module 1 Summary: Data Analytics and Generative AI 10 minutes
Module 1 Cheatsheet: Data Analytics and Generative AI10 minutes

3 assignmentsTotal 50 minutes

Module 1 Graded Quiz: Data Analytics and Generative AI30 minutes
Lesson 1 Practice Quiz: Data Analytics and Generative AI 10 minutes
Lesson 2 Practice Quiz: Generative AI for Data Preparation and Insights10 minutes

1 app itemTotal 30 minutes

Hands-on Lab: Generative AI for Querying Databases30 minutes

4 pluginsTotal 120 minutes

Hands-on Lab: Explore a Simple Generative Tool30 minutes
Hands-on Lab: Generative AI for Data Generation and Augmentation 30 minutes
Hands-on Lab: Generative AI for Data Preparation 30 minutes
Hands-on Lab: Generative AI for Q and A30 minutes

In this module, you will have the skills and knowledge to effectively use Generative AI to derive insights, create visually compelling data representations, and construct interactive dashboards for data analytics pipelines. You will also understand the importance of ethical practices in utilizing generative models for data analytics.

What's included

9 videos4 readings3 assignments3 app items1 discussion prompt3 plugins

9 videosTotal 52 minutes

Demo: Generative AI for Data Insights 6 minutes
Demo: Generative AI for Data Visualization 4 minutes
Generative AI for Creating Dashboards5 minutes
Generative AI for Storytelling 4 minutes
Successful Implementation of Generative AI for Data Visualization and Storytelling 5 minutes
Expert Viewpoints: Generative AI for Data Visualization and Storytelling7 minutes
Considerations While Using Generative AI in Industries6 minutes
Challenges While Using Generative AI7 minutes
Expert Viewpoints: Gen AI Considerations for Data Professionals8 minutes

4 readingsTotal 35 minutes

Responsible Generative AI for Data Professionals10 minutes
Case Study: Considerations While Using Generative AI in Healthcare10 minutes
Module 2 Summary: Generative AI for Data Visualization and Storytelling 5 minutes
Module 2 Cheatsheet: Use of Generative AI for Data Analytics10 minutes

3 assignmentsTotal 50 minutes

Module 2 Graded Quiz: Use of Generative AI for Data Analytics30 minutes
Lesson 1 Practice Quiz: Generative AI for Data Visualization and Storytelling10 minutes
Lesson 2 Practice Quiz: Generative AI Considerations for Data Professionals10 minutes

3 app itemsTotal 150 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: Considerations for Data Professionals using Gen AI60 minutes

1 discussion promptTotal 5 minutes

Dashboarding and Storytelling with Generative AI5 minutes

3 pluginsTotal 120 minutes

Hands-on Lab: Generative AI for Data Visualization60 minutes
Hands-on Lab: Generative AI for Creating Dashboards30 minutes
Lab: Generative AI for Storytelling 30 minutes

In this module, you will complete a guided practice project where you will use a real-world data set and practice generative AI to generate Python codes that can perform data preparation, analysis, visualization and dashboarding. In addition, you will attempt a final graded exam designed to evaluate your understanding of generative AI.

What's included

2 videos2 readings1 assignment2 app items1 plugin

2 videosTotal 9 minutes

Expert Viewpoints: Wrap Up5 minutes
Enhancing Your Data Analyst Career with Generative AI 4 minutes

2 readingsTotal 10 minutes

Congratulations and Next Steps5 minutes
Thanks from the Course Team5 minutes

1 assignmentTotal 30 minutes

Final Exam30 minutes

2 app itemsTotal 120 minutes

Hands-on Lab: Guided Practice Project60 minutes
Lab Environment for Guided Practice Project60 minutes

1 pluginTotal 10 minutes

Reading: Guided Practice Project Overview 10 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

(38 ratings)

IBM Skills Network Team

97 Courses2,107,260 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
81.18%
4 stars
9.67%
3 stars
2.68%
2 stars
2.15%
1 star
4.30%

Showing 3 of 184

Reviewed on Jun 29, 2025

It was a nice introduction course to Gen AI. Saved some useful tools like Akkio and IBM Watson Ai.

Reviewed on Nov 24, 2024

Good introduction to Generative AI with fun labs. The videos go very fast, but transcripts can be downloaded.

Reviewed on Sep 23, 2024

Very useful information about AI for Data analysis in today's World data Insights.

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.