"GenAI for Data Scientist" is designed for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course breaks down the complex world of GenAI, demonstrating its significant impact on data analysis, predictive modeling, and beyond. You will learn the technical workings of GenAI tools and their practical applications in real-world data science scenarios.
This course is designed for team leads and managers looking to incorporate GenAI into their strategic initiatives, as well as individual data scientists and analysts eager to enhance their daily tasks with advanced GenAI techniques. It is also suitable for professionals aiming to advance their careers by mastering cutting-edge GenAI applications in data science.
Learners should have a basic understanding of data analytics, statistical methods, and machine learning, along with familiarity with programming languages like Python or R. An open mindset and eagerness to explore new technologies are also essential.
The curriculum covers the fundamentals of machine learning models, data augmentation, and ethical considerations, providing insights into how GenAI can enhance analytical precision and foster innovation.
The course aims to build a strong foundational understanding of GenAI, enabling data scientists to explore innovative ways to apply these technologies in their daily tasks. By the end of the course, learners will have a clear grasp of the capabilities and limitations of GenAI, setting the stage for more advanced studies or immediate application in their professional roles.
What's included
6 videos5 readings1 assignment1 peer review
Show info about module content
6 videos•Total 44 minutes
Introduction to GenAI for Data Scientists•7 minutes
History & Background for GenAI and Data Science•8 minutes
Demo: Generating Synthetic Data and Machine Learning Model Code with Gemini•11 minutes
Remediating Risks and Ethical Concerns•8 minutes
Demo: Synthetic Data Creation and Predictive Model Building with Gemini•9 minutes
Closing Thoughts: What’s Next•2 minutes
5 readings•Total 50 minutes
Our Roadmap & Resources Available: How to Get Started•10 minutes
GenAI and Data Science: Glossary•10 minutes
Demo: Text Classification with the OpenAI API•10 minutes
Demo: Converting Python Code to other Programming Languages with CodeConvertAI•10 minutes
Demo: Exploratory Data Analysis (EDA) with ChatGPT•10 minutes
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