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⇱ Generative AI: Enhance your Data Analytics Career | Coursera

Generative AI: Enhance your Data Analytics Career

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Generative AI: Enhance your Data Analytics Career

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4.6

183 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
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96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

183 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
96%
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

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Assessments

7 assignments

Taught in English

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  • 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 Generative AI for Data Analytics. You will explore several generative AI tools used in data analytics and gain insights into implementing them successfully. The module covers using generative AI for tasks like data generation and augmentation, data preparation, querying databases, and obtaining insights from Q&A models.

What's included

8 videos2 readings3 assignments1 app item1 discussion prompt10 plugins

8 videos•Total 44 minutes
  • Course Introduction•3 minutes
  • Generative AI for Data Analytics •4 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 Preparation•6 minutes
  • Demo: Generative AI for Querying Databases•5 minutes
  • Generative AI for Q and A Model Insights •6 minutes
  • Successful Implementations of Generative AI for Data Preparation and Insights •6 minutes
2 readings•Total 15 minutes
  • Course Syllabus and Prerequisites•5 minutes
  • Module 1 Summary: Data Analytics and Generative AI  •10 minutes
3 assignments•Total 50 minutes
  • Module 1 Graded Quiz: Data Analytics and Generative AI•30 minutes
  • Lesson 1 Practice Quiz: Data Analytics and Generative AI •10 minutes
  • Lesson 2 Practice Quiz: Generative AI for Data Preparation and Insights•10 minutes
1 app item•Total 30 minutes
  • Hands-on Lab: Generative AI for Querying Databases•30 minutes
1 discussion prompt•Total 5 minutes
  • Discussion Prompt: Data Analytics and Generative AI•5 minutes
10 plugins•Total 158 minutes
  • Helpful Tips for Course Completion•3 minutes
  • Reading: Generative AI Tools for Data Analytics •5 minutes
  • Reading: Case Study on Successful Implementations of Generative AI in Data Analytics •10 minutes
  • Hands-on Lab: Explore a Simple Generative Tool•30 minutes
  • Reading: Leveraging Generative AI in Data Analytics Process •10 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 A•30 minutes
  • Reading: Using Microsoft Copilot•5 minutes
  • Module 1 Cheatsheet: Data Analytics and Generative AI•5 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

7 videos2 readings3 assignments3 app items1 discussion prompt6 plugins

7 videos•Total 37 minutes
  • Demo: Generative AI for Data Insights •6 minutes
  • Demo: Generative AI for Data Visualization •4 minutes
  • Generative AI for Creating Dashboards•5 minutes
  • Generative AI for Storytelling  •4 minutes
  • Successful Implementation of Generative AI for Data Visualization and Storytelling •5 minutes
  • Considerations While Using Generative AI in Industries•6 minutes
  • Challenges While Using Generative AI•7 minutes
2 readings•Total 15 minutes
  • Important Note: Generative AI Tool Access Update•10 minutes
  • Module 2 Summary: Generative AI for Data Visualization and Storytelling •5 minutes
3 assignments•Total 50 minutes
  • Module 2 Graded Quiz: Use of Generative AI for Data Analytics•30 minutes
  • Lesson 1 Practice Quiz: Generative AI for Data Visualization and Storytelling•10 minutes
  • Lesson 2 Practice Quiz: Generative AI Considerations for Data Professionals•10 minutes
3 app items•Total 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 AI•60 minutes
1 discussion prompt•Total 5 minutes
  • Dashboarding and Storytelling with Generative AI•5 minutes
6 plugins•Total 141 minutes
  • Hands-on Lab: Generative AI for Data Visualization•60 minutes
  • Hands-on Lab: Generative AI for Creating Dashboards•30 minutes
  • Hands-on Lab: Generative AI for Storytelling •30 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 Analytics•5 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

1 video2 readings1 assignment2 app items1 plugin

1 video•Total 4 minutes
  • Enhancing Your Data Analyst Career with Generative AI •4 minutes
2 readings•Total 10 minutes
  • Congratulations and Next Steps•5 minutes
  • Thanks from the Course Team•5 minutes
1 assignment•Total 30 minutes
  • Final Exam•30 minutes
2 app items•Total 120 minutes
  • Hands-on Lab: Guided Practice Project•60 minutes
  • Lab Environment for Guided Practice Project•60 minutes
1 plugin•Total 10 minutes
  • Reading: Guided Practice Project Overview •10 minutes

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Instructor

Instructor ratings
4.1 (38 ratings)
IBM
55 Courses•5,115,016 learners

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Showing 3 of 183

AM
·

Reviewed on Apr 16, 2025

This course is future in AI era. you can boost your career with this course

SS
·

Reviewed on Aug 9, 2024

Excellent foundation in how Generative AI will impact data analysts

AK
·

Reviewed on Jun 29, 2025

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

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.

Financial aid available,