ChatGPT and Python
1h 30mIntermediate2024-06-04
Authors
Maven Analytics
Aaron Parry
Course details
AI is changing the world around us, and completely revolutionizing the way we work. Data professionals now have access to tools that provide superpowers to work smarter and faster than ever before. In this course, the Maven Analytics team guides you through the world of deep learning and generative AI and shows you how to leverage Python and ChatGPT together to work more efficiently and make smarter, data-driven decisions.
Explore the rapid rise of large language models like ChatGPT and Google Gemini, and get up and running with free tools that will take your skills to the next level. You'll also dive into the art of prompt engineering, review tips and best practices for generating consistent and accurate model outputs, and find out how to address common limitations and pitfalls to be aware of. From there, Chris Bruehl takes you through some of the most powerful and practical ChatGPT use cases for data science and analytics, with demos in Python.
Explore the rapid rise of large language models like ChatGPT and Google Gemini, and get up and running with free tools that will take your skills to the next level. You'll also dive into the art of prompt engineering, review tips and best practices for generating consistent and accurate model outputs, and find out how to address common limitations and pitfalls to be aware of. From there, Chris Bruehl takes you through some of the most powerful and practical ChatGPT use cases for data science and analytics, with demos in Python.
Skills covered
ChatGPTOpenAIAI Productivity ToolsPythonProgramming LanguagesBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - The future is now - Intro to AI for data analytics
- 02 - Setting expectations
1. How AI Is Revolutionizing Data Analysis
- 03 - Why AI is a game changer for data analysis
- 04 - AI use cases for data analytics
2. A Crash Course in AI, LLMs, and ChatGPT
- 05 - The AI landscape
- 06 - Generative AI and large language models
- 07 - The road to ChatGPT
- 08 - Generative AI tools
- 09 - Warning - Pitfalls of ChatGPT
- 10 - Accessing ChatGPT and Google Gemini
3. Prompt Engineering Tips
- 11 - Intro to prompt engineering
- 12 - Prompt tip - Be clear and specific
- 13 - Prompt tip - Provide context
- 14 - Prompt tip - Establish roles
- 15 - Prompt tip - Set the tone
4. ChatGPT for Python
- 16 - Intro to ChatGPT for Python
- 17 - Explain Python code
- 18 - Add comments to Python code
- 19 - Optimize Python code
- 20 - Troubleshoot Python errors
- 21 - Generate Python code from scratch
- 22 - Visualize data with Python
- 23 - Research Python libraries
- 24 - Scrape web data with Python
- 25 - Interpret Python machine learning models
- 26 - ChatGPT extension for Jupyter notebooks
Conclusion
- 27 - Key takeaways and next steps