Generative AI Skills for Data Analysts
PremiumIntermediateCourse
Get a headstart in you Data Analyst career using Generative AI. Apply GenAI as a crucial tool to extract, prepare, augment, query, analyze & visualize data.
4.7 (11 Reviews)

Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Enrollment Count
- 131
Skills You Will Learn
- Artificial Intelligence, Dashboards, Data Analysis, Data Preparation, Data Visualization, Generative AI
Offered By
- IBMSkillsNetwork
Estimated Effort
- 13 hours
Platform
- SkillsNetwork
Last Update
- March 17, 2026
About this Course
Boost your data analytics career with the power of Generative AI. This course covers fundamental concepts, tools, and applications of GenAI in data analysis.
This course teaches you GenAI techniques for data extraction, generation, augmentation, interpretation and visualization. You will explore how successful professionals employ GenAI for data analysis and gain skills that you can use to be more productive and efficient.
With the use of hands-on labs and practical applications, you will learn to use Generative AI models and platforms like ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more. You will use these platforms and complete tasks like developing Python code and creating interactive dashboards!
At the end of this course you will complete a final exam as well as a final project that you can add to your portfolio and show to potential employers.
By the end of the course, you will emerge with practical skills to leverage generative AI effectively in data analysis. Expand your Generative AI proficiency to enhance your data analyst career. Enroll today!
Learning Outcomes
After completing this course you will be able to:
- Explore the use cases of Generative AI tools and techniques in data analytics
- Apply Generative AI tools to perform data analytics tasks including: data preparation, analysis, visualization, and storytelling.
- Assess practical case studies that demonstrate the effective application of Generative AI in extracting valuable insights from data.
- Examine the ethical implications and obstacles linked with the use of Generative AI in data analytics.
Course Syllabus
Module 1: Data Analytics and Generative AI
- Welcome
- Data Analytics and Generative AI
- Generative AI for Data Preparation and Insights
- Module Assessment
Module 2: Use of Generative AI for Data Analytics
- Generative AI for Data Visualization and Storytelling
- Generative AI Considerations in Data Analytics
- Module Assessment
Module 3: Final Project and Final Exam
- Final Project
- Final Exam
- Course Wrap-Up
General Information
- This course is self-paced.
- This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
Recommended Skills Prior to Taking this Course
It is recommended that you have a general familiarity with Generative AI and prompt engineering basics. It is suggested to complete or be familiar with the concepts convered in the following two courses:
- Generative AI Essentials
- Prompt Engineering Essentials

Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Enrollment Count
- 131
Skills You Will Learn
- Artificial Intelligence, Dashboards, Data Analysis, Data Preparation, Data Visualization, Generative AI
Offered By
- IBMSkillsNetwork
Estimated Effort
- 13 hours
Platform
- SkillsNetwork
Last Update
- March 17, 2026