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GenAI for Data Science Teams

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GenAI for Data Science Teams

This course is part of Modern Data Analytics with Python, Excel & Generative AI Specialization

Instructors: Soheil Haddadi, Reza Moradinezhad

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

1 module

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.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer

Taught in English

91% of learners achieved a positive career outcome

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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.

Learn new concepts from industry experts
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

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.

Module details

"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 videosTotal 20 minutes

Introduction to GenAI for Data Science Teams5 minutes
The GenAI Future-Ready Framework for Data Science Teams4 minutes
Ethical Concerns and Remediating Risks4 minutes
Demo: Strategically Assign Project Subtasks with ChatGPT3 minutes
Closing Thoughts: What’s Next3 minutes

6 readingsTotal 55 minutes

Our Roadmap & Resources Available: How to Get Started5 minutes
Resources for GenAI Usage for Data Science Teams10 minutes
Collaborative Strategies with GenAI for Data Science Teams10 minutes
GenAI in Data Science Project Management10 minutes
GenAI for Boosting Creativity & Communication for Data Science Teams10 minutes
Best Practices for Protecting Against Plagiarism for Data Science Teams10 minutes