GenAI for Data Scientists
This course will cover the basics of machine learning models, data augmentation, and ethical considerations, offering insights into how GenAI can enhance analytical precision and innovation in data science.
Segment 01 - Introduction to GenAI for Data Scientists
Segment 02 - GenAI and Data Science: Glossary
Segment 03 - History & Background for GenAI and Data Science
Segment 04 - Demo: Generating Synthetic Data and Machine Learning Model Code with Gemini
Segment 05 - Demo: Text Classification with the OpenAI API
Segment 06 - Demo: Converting Python Code to other Programming Languages with CodeConvertAI
Segment 07 - Remediating Risks and Ethical Concerns
Segment 08 - Demo: Synthetic Data Creation and Predictive Model Building with Gemini
Segment 09 - Demo: Exploratory Data Analysis (EDA) with ChatGPT
Segment 10 - Practice Project: Synthetic Data Showcase
Segment 11 - Closing Thoughts: What’s Next