GenAI for Data Science Teams

"GenAI for Data Science Teams" is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and data science practices. This course aims to demystify GenAI complexities, enabling data science professionals to leverage these technologies for data augmentation, task automation, and model development. This course is designed for data science managers and team leads aiming to foster innovation, senior data scientists driving GenAI adoption, aspiring data scientists looking to enter the field with advanced skills, and IT professionals seeking to understand GenAI's applications in data science for cross-disciplinary innovation. Learners should have a fundamental understanding of data science principles and strategies, along with an eagerness to learn and adapt to new technologies. By the end of this course, learners will be able to creatively apply GenAI tools in their workflows, enhancing project outcomes and driving team innovation

• Understand how GenAI technologies enhance data quality and model development in data science teams
• Apply GenAI tools to automate data augmentation and repetitive tasks in model development
• Analyze ethical implications and implement best practices for responsible GenAI integration in projects

• Basic understanding of data science principles and common terminology
• Readiness to engage in practical exercises and case studies