GenAI for Data Science Teams

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.

Reza Moradinezhad
Soheil Haddadi
Published: Aug 2024
Core
Data Science
1 hour
In partnership with:Coursera
GenAI for Data Science Teams

Course Overview

"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.  Learners will explore the intersection of GenAI and data science, uncovering new opportunities for innovation and efficiency in their projects. The course covers the essential GenAI concepts tailored for data science applications, including data augmentation, synthetic data generation, automation of data preprocessing tasks, model development, and documentation. By the end of this course, learners will be equipped with the knowledge to creatively apply GenAI tools in their data science workflows, thereby enhancing their project outcomes and driving innovation within their teams. 

Skills You Will Gain

Data Preprocessing
Efficiency
Innovation
Project Outcomes
Synthetic Data Generation

Course Includes

1K
STUDENTS*
98.3%
RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Learning Outcomes (At the end of this program, you will be able to...)

  • Acquire a working knowledge of GenAI tools and strategies for using them to increase team collaboration and efficiency. 
  • Master the integration of GenAI technologies in enhancing data analytics and model development. 
  • Apply GenAI tools practically in real-world data science scenarios to improve outcomes. 
  • Navigate ethical, legal, and societal implications of using GenAI in data science. 
  • Analyze potential ethical concerns that are inherent in using GenAI for data science teams, including how to navigate challenges and ensure responsible implementation of AI technologies in data science practices. 
  • Create a working framework for staying ahead of GenAI advancements. 

Prerequisites

Learners should have a fundamental understanding of data science principles and strategies and an eagerness to learn and adapt to new technologies. 

Who Should Attend

This course is designed for data science team leaders and their teams, including Data Science Managers, Team Leads, and Senior Data Scientists aiming to enhance leadership and innovation through GenAI. It also targets aspiring data scientists and IT professionals, and software engineers seeking to understand GenAI applications for cross-disciplinary innovation.

 

 

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.