Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.

This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.

Students of this class may have opportunity to be considered for Internship with Big Data Trunk.

Learn to design efficient prompts to achieve desired results with fewer steps in data science projects. Develop the ability to comprehend and explain the basic principles of prompt engineering and its relevance in the field of data science.

Prerequisites:

Participants are expected to have basic knowledge of Data Analysis and EDA. Basic programming with Data Science projects is desired but not required

Learning Objectives:

With this course, you will have the opportunity to
Gain skills to employ ChatGPT and other GenAI tools to initiate data science projects
Transform categorical data into numerical form using ChatGPT effectively.
Learn to leverage Google Colab for efficient Python programming and data analysis.
Develop skills in using ChatGPT to prepare and clean data for analysis, simplifying the preprocessing stage.
Gain proficiency in analyzing qualitative data with ChatGPT, extracting valuable interpretations from non-numerical data.

Course Outline:

Session 1

- Deriving insights from data
- Working with Google Colab
- Chat GPT Prompt Engineering
- Data Analysis with ChatGPT

Session 2

- Using ChatGPT to prepare data
- Hands-On Data Processing: Applying ChatGPT for Efficient Business Data Prep
- Creating Data Analysis Reports and Communicating with Stakeholders with ChatGPT

ChatGPT for Data Analysis: Advanced Prompt Techniques