Advanced Data Analysis with ChatGPT Course Syllabus

Overview: This course is designed to help learners master advanced data analysis using ChatGPT, combining AI capabilities with real-world data challenges. Over approximately 2.5 hours, participants will progress through six structured modules, engaging with hands-on labs, case studies, and a capstone project. The self-paced format includes practical assignments and peer-reviewed assessments to reinforce learning. Learners will gain proficiency in leveraging ChatGPT for data interpretation, reporting, and automation, culminating in a professional portfolio-ready project.

Module 1: Introduction & Foundations

Estimated time: 2.5 hours

• Overview of ChatGPT in data analysis workflows
• Best practices and industry standards for AI-assisted analysis
• Interactive lab: Setting up and navigating the analysis environment
• Evaluating ethical considerations and data privacy

Module 2: Core Concepts & Theory

Estimated time: 1.5 hours

• Key concepts in data analysis with LLMs
• Understanding prompt engineering for data queries
• Review of frameworks used in AI-driven analysis
• Interactive lab: Building basic analytical prompts

Module 3: Practical Application & Techniques

Estimated time: 3.5 hours

• Case study analysis using real-world datasets
• Techniques for data cleaning and preprocessing with AI
• Generating insights and visual summaries using ChatGPT
• Interactive lab: Creating automated analysis scripts

Module 4: Advanced Topics & Methods

Estimated time: 2 hours

• Advanced prompt strategies for complex datasets
• Integrating ChatGPT with data analysis tools
• Handling ambiguity and improving result accuracy

Module 5: Case Studies & Real-World Projects

Estimated time: 4 hours

• Review of industry-standard analysis frameworks
• Collaborative problem-solving with AI assistance
• Guided project work: Applying methods to real datasets

Module 6: Final Project

Estimated time: 3 hours

• Deliverable 1: End-to-end data analysis using ChatGPT
• Deliverable 2: Peer-reviewed analytical report
• Deliverable 3: Shareable certificate of completion

Prerequisites

• Basic understanding of data analysis concepts
• Familiarity with working with datasets in spreadsheets or tools
• Access to ChatGPT and willingness to experiment

What You'll Be Able to Do After

• Apply theoretical knowledge to real-world data scenarios
• Evaluate best practices and emerging trends in AI-assisted analysis
• Design professional-standard data analysis solutions
• Collaborate effectively using AI and industry-standard tools
• Build a portfolio demonstrating advanced data analysis skills