Complete Guide to Generative AI for Data Analysis and Data Science
With Dan Sullivan
Liked by 565 users
Duration: 10h 21m
Skill level: Intermediate
Released: 9/27/2024
Course details
GenAI has the potential to enable many more people to work with and analyze data, but to succeed, you need a solid foundation in data management, statistics, and machine learning. This course provides that foundation. Instructor Dan Sullivan teaches how to break down business questions and data science questions into components that can be addressed programmatically and then how to use GenAI to create programs and scripts to implement a solution. This course focuses on the three pillars needed to be a successful data analyst or data scientist: problem solving skills, an understanding of statistics and machine learning, and practical experience with data management procedures.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Pinimal Rasanjana Jayarathne
Pinimal Rasanjana Jayarathne
SOFTWARE ENGINEER | REACT DEVELOPER | MOBILE APP DEVELOPER | UIUX DESIGNER | STUDENT IN ESOFT UNI KANDY |
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Venkata Rupesh Pallapothu
Venkata Rupesh Pallapothu
MBA-FABM || SIBM N 26 || Live project in whagmare || Former Intern at Akshaykalpa organics || B.Sc.(Hons) Agriculture(CUTM) || NCC
Contents
What’s included
- Test your knowledge 10 quizzes
- Learn on the go Access on tablet and phone
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