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⇱ GenAI for Data Science Teams | Coursera

GenAI for Data Science Teams

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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
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

  • A comprehensive understanding of how GenAI technologies can be applied in a data science team, enhancing data quality and model development.

  • GenAI tools to automate and optimize data augmentation, to automate repetitive tasks such as data manipulation, model development, etc.

  • The ethical implications and best practices for integrating GenAI within data science team projects to ensure responsible and effective use.

Details to know

Shareable certificate

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Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Modern Data Analytics with Python, Excel & Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

"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.

"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 the complexities surrounding GenAI, making it accessible for data science professionals to leverage these technologies for enhancing data augmentation, automating repetitive tasks, and model development. Through engaging content and practical applications, learners will gain a solid foundation in understanding how GenAI can revolutionize data handling, analysis, and model training processes.

What's included

5 videos6 readings2 assignments

5 videos•Total 20 minutes
  • Introduction to GenAI for Data Science Teams•5 minutes
  • The GenAI Future-Ready Framework for Data Science Teams•4 minutes
  • Ethical Concerns and Remediating Risks•4 minutes
  • Demo: Strategically Assign Project Subtasks with ChatGPT•3 minutes
  • Closing Thoughts: What’s Next•3 minutes
6 readings•Total 55 minutes
  • Our Roadmap & Resources Available: How to Get Started•5 minutes
  • Resources for GenAI Usage for Data Science Teams•10 minutes
  • Collaborative Strategies with GenAI for Data Science Teams•10 minutes
  • GenAI in Data Science Project Management•10 minutes
  • GenAI for Boosting Creativity & Communication for Data Science Teams•10 minutes
  • Best Practices for Protecting Against Plagiarism for Data Science Teams•10 minutes
2 assignments•Total 50 minutes
  • GenAI for Data Science Teams•20 minutes
  • Your Turn! Practice Assignment •30 minutes

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Frequently asked questions

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.