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Chatgpt Course

DataScienceGPT Highlights

Intro
The new focus of data science - Trade-offs - FB example
Data Science choosing long term growth over short term - Netflix Example
A recent A/B testing technique - Airbnb example
Job Interview use case - DatascienceGPT for features that don't exist yet

Chatgpt - Foundational Knowledge

Introduction
Calling Chatgpt from Python/R
How to avoid vague answers
How different date ranges impact the output
Clustering with Chatgpt
Prompt Size - The problem
Prompt size - Leveraging Clustering
Prompt size - Semantic Search
Prompt Size - Support Vector Machine
Prompt Size - Combining different approaches
How to ask a question to Chatgpt
How to ask a question - Developer perspective
Other libraries - LangChain and Pinecone
Data Cleansing
Chatgpt as a code assistant

Chatgpt - Practical Projects

Question & Answer against documents
Langchain - Q&A
Langchain - Exploratory Analysis
Ads Personalization at scale
Content Creation
SEO and Content Marketing at scale
Product Data Science via Chatgpt - Identify product weaknesses
Product Data Science via Chatgpt - Identify product strengths
Product Data Science via Chatgpt - Product Case Studies
Product Data Science - Exercise

Building a Chatgpt App

Streamlit vs Shiny
Shiny - App Intro
Shiny - App Skeleton
Shiny - Data Tab
Shiny - Chatgpt Tab
Shiny - History Tab
Shiny - UI/UX Improvements
Shiny - Production
Streamlit - Intro
Streamlit - Skeleton
Streamlit - Q&A Step
Streamlit - History
Streamlit - Production
Exercise

Future Developments - Roadmap

Roadmap

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