This foundational course provides a comprehensive understanding of generative AI and its applications in data analysis. You'll explore key tools and platforms, learn to integrate AI into existing workflows, and master prompt engineering for various data analysis tasks.
Introduction to Generative AI for Data Analysis
Introduction to Generative AI for Data Analysis
This course is part of Microsoft Generative AI for Data Analysis Professional Certificate
Instructor: Microsoft
Access provided by Interbank
15,368 already enrolled
Gain insight into a topic and learn the fundamentals.
87 reviews
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- AI Enablement
- Generative AI
- Responsible AI
- Transfer Learning
- Data Cleansing
- OpenAI
- Prompt Engineering
- Data Ethics
- Exploratory Data Analysis
- Data Analysis
- Data Preprocessing
- Interactive Data Visualization
- Skills section collapsed. Showing 11 of 12 skills.
Details to know
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Assessments
29 assignments
Taught in English
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Build your Data Analysis expertise
This course is part of the Microsoft Generative AI for Data Analysis Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- 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 from Microsoft
There are 5 modules in this course
Develop a foundational understanding of what Generative AI is, its current applications in data analysis, and the key tools and platforms available.
What's included
7 videos8 readings4 assignments
Integrate generative AI tools into their existing data analysis workflows to streamline data exploration, uncover insights, and enhance decision-making processes.
What's included
9 videos6 readings6 assignments
Apply generative AI tools to investigate and summarize datasets, and identify patterns and relationships, and formulate hypotheses for further analysis.
What's included
7 videos8 readings6 assignments
Develop the skills to create and optimize effective prompts for diverse data analysis tasks, enhancing the quality and efficiency of data cleaning, analysis, and visualization outcomes.
What's included
6 videos9 readings7 assignments
Evaluate and apply ethical, legal, and practical considerations in utilizing generative AI for data analysis, ensuring responsible application and risk mitigation.
What's included
7 videos7 readings6 assignments
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Showing 3 of 87
ZZ
Reviewed on Aug 3, 2025
So honored to be part of it and learned a lot from it
BM
Reviewed on Jan 3, 2026
Easy to understand with good examples, resulting in applying the lessons immediately for creating GenAI prompts and workflows.
JP
Reviewed on Mar 9, 2025
Overall it was really good, but theory was too much. Much appreciate if include more practical practices.
