"GenAI for Data Scientist" is designed for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course breaks down the complex world of GenAI, demonstrating its significant impact on data analysis, predictive modeling, and beyond. You will learn the technical workings of GenAI tools and their practical applications in real-world data science scenarios.
GenAI for Data Scientists
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recognize what Generative AI (GenAI) is and what it can and cannot do, in general.
Evaluate the results of GenAI for a real-world application in data scientist functions.
Deploy strategies and tactics to responsibly integrate GenAI into data Science practices, while maintaining human oversight and accountability.
Skills you'll gain
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Recently updated!
July 2024
Assessments
1 assignment
Taught in English
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There is 1 module in this course
The course aims to build a strong foundational understanding of GenAI, enabling data scientists to explore innovative ways to apply these technologies in their daily tasks. By the end of the course, learners will have a clear grasp of the capabilities and limitations of GenAI, setting the stage for more advanced studies or immediate application in their professional roles.
What's included
6 videos5 readings1 assignment1 peer review
Offered by
Recommended if you're interested in Data Analysis
Coursera Instructor Network
Fractal Analytics
University of California San Diego
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Frequently asked questions
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