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
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
October 2024
Assessments
29 assignments
Taught in English
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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.
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- Gain a foundational understanding of a subject or tool
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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
6 videos9 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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