GenAI for Data Scientists
Learn to integrate Generative AI into data science workflows. Master synthetic data generation, model building, and ethical AI implementation.
Learn to integrate Generative AI into data science workflows. Master synthetic data generation, model building, and ethical AI implementation.
This comprehensive course introduces data scientists to the transformative potential of Generative AI in data analysis and modeling. Designed for both team leads and individual practitioners, it covers practical applications of GenAI tools for synthetic data generation, predictive modeling, and code generation. The curriculum emphasizes hands-on experience with tools like Gemini and ChatGPT while addressing ethical considerations.
Instructors:
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What you'll learn
Recognize GenAI capabilities and limitations in data science
Master synthetic data generation techniques
Implement predictive modeling with GenAI tools
Perform text classification using OpenAI API
Conduct exploratory data analysis with ChatGPT
Develop responsible AI integration strategies
Skills you'll gain
This course includes:
94 Minutes PreRecorded video
1 assignment,1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to integrating Generative AI into data science practices. Students learn practical applications including synthetic data generation, machine learning model creation, and code conversion across programming languages. The curriculum covers using tools like Gemini for predictive modeling, ChatGPT for exploratory data analysis, and OpenAI API for text classification. Special emphasis is placed on ethical considerations and responsible AI integration.
GenAI for Data Scientists
Module 1 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
Data Scientist and AI & ML Research Scientist, Coursera Instructor Network
Soheil Haddadi and Reza Moradinezhad are data scientists and AI researchers known for making advanced machine learning and large language models accessible for business and practical use. They teach "Fine-tuning Language Models for Business Tasks," focusing on customizing generative AI, LLMs, and trustworthy, human-centered interaction for business innovation. Their courses present practical strategies for fine-tuning AI models, fostering responsible AI adoption and impactful business solutions in diverse industries.
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