Curriculum
9 Sections
29 Lessons
20 Weeks
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Introduction to ChatGPT for Data Analytics
3
1.1
Why use ChatGPT for Data Analytics?
1.2
Capabilities & Limitations
1.3
Types of Tasks it can handle
Prompt Engineering for Analysts
4
2.1
What is a Prompt?
2.2
Zero-shot, One-shot, Few-shot prompting
2.3
How to write better prompts for data analysis
2.4
Iterative prompting
SQL Code Generation
4
3.1
Generating SQL queries from business questions
3.2
Query optimization suggestions
3.3
Complex join creation
3.4
Data cleaning queries
Python Code Generation (Pandas/Numpy)
4
4.1
Generating Pandas code
4.2
Data cleaning using ChatGPT
4.3
Feature engineering suggestions
4.4
Regex pattern generation for cleaning
Data Visualization Assistance
3
5.1
Chart recommendations
5.2
Matplotlib, Seaborn, Plotly code generation
5.3
Insight summarization from charts
Documentation & Reporting Automation
4
6.1
Auto-generating data dictionaries
6.2
Auto-generating data dictionaries
6.3
Writing executive summaries
6.4
Auto-generating business insights from data
Business Communication Support
3
7.1
Email drafts for reporting findings
7.2
Presentation script generation
7.3
Simplifying technical outputs for business users
ChatGPT Integration with Tools
2
8.1
ChatGPT with Python (OpenAI API)
8.2
Auto-generation of dashboard summaries
Brand Yourself
2
9.1
Resume Building
9.2
LinkedIn Posts
ChatGPT
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