Prompt Engineering for Analytics
Offered By: Codecademy
Course Description
Overview
Ready to tap into AI prompt engineering for data analytics? Learn how to use APIs to turn OpenAI's GPT model into your own personal analytics assistant.
Whether you are a professional data analyst or just have data to analyze, AI models like OpenAI’s GPT can help you generate everything from analytics strategies to Python code. In this course, you will learn how to use OpenAI's models as an AI assistant directly within your own Jupyter Notebook environment. Get ready to power up your analytics workflow with AI.
* Write effective analytics prompts
* Connect to OpenAI using an API key
* Improve performance with API parameters
* Understand and avoid common AI pitfalls
Whether you are a professional data analyst or just have data to analyze, AI models like OpenAI’s GPT can help you generate everything from analytics strategies to Python code. In this course, you will learn how to use OpenAI's models as an AI assistant directly within your own Jupyter Notebook environment. Get ready to power up your analytics workflow with AI.
* Write effective analytics prompts
* Connect to OpenAI using an API key
* Improve performance with API parameters
* Understand and avoid common AI pitfalls
Syllabus
- Prompt Engineering for Analytics: Learn how to use AI for data analytics
- Lesson: Prompt Engineering for Analytics
- Project: Create Analytics with AI: Hotel Cancellations
- Quiz: Practice Prompt Engineering for Analytics
- Informational: What's Next
Taught by
Kenny Lin
Related Courses
Understanding China, 1700-2000: A Data Analytic Approach, Part 1The Hong Kong University of Science and Technology via Coursera The Analytics Edge
Massachusetts Institute of Technology via edX 大数据与信息传播 Big Data and Information Dissemination
Fudan University via Coursera The Future of Fashion
Marist College via Independent The Mobile Consumer
Marist College via Independent