Learn Data Visualization & Analytics With Chatgpt And Colab
 

What you'll learn
Beginners in data analysis who want to learn through hands-on practice without needing prior coding experience.
Marketing, product, or business professionals looking to turn raw data into visual insights using AI tools.
Students or career switchers who want to quickly build skills in Python, ChatGPT, and data storytelling
Anyone curious about how to automate data tasks and create clear, compelling visualizations using Google Colab and ChatGPT.
Requirements
You need to complete the "Beginner Guide to Data Visualization" lesson to learn the ADME method before taking this course
No prior coding experience is required - you'll learn everything step by step.
A basic understanding of data (e.g. rows, columns, CSV files) is helpful but not necessary.
A free Google account to access Google Colab.
Optional: A free or Plus account on ChatGPT to use AI features during the course
Description
This beginner-friendly course teaches you how to analyze and visualize real-world datasets using ChatGPT and Google Colab. Whether you work in marketing, product, business analysis, or you're simply data-curious, you'll learn how to generate insights and communicate findings through clear, compelling visualizations.Using the ADME framework (Audience, Drawing, Message, Explanation), you'll be guided step-by-step through interactive, hands-on projects. You'll start by loading CSV files into Colab, explore the data with Python, and then use ChatGPT to assist in writing and interpreting code-even if you've never programmed before. With the help of AI, you'll build insightful charts and segment customers based on behavior and spending patterns.What You'll Learn:Work with real datasets directly in Google ColabUse ChatGPT to write, explain, and debug Python code-no experience neededCreate engaging charts like histograms, bar charts, scatter plots, and cluster mapsApply the ADME storytelling method to turn data into business-ready insightsAutomate your workflow to perform faster, repeatable analysisYou'll also gain practical experience with tools used by analysts and data scientists every day, making it easier to bring data skills into your career. By the end of the course, you'll confidently move from raw data to actionable decisions - using only your browser and smart prompts.No technical background? No problem. This course is designed to help you start fast, think critically, and work smarter with data.
Overview
Section 1: Introduction
Lecture 1 Course Overview & Target Audience
Lecture 2 What You'll Learn
Section 2: Setting Up Your Tools
Lecture 3 Introduction to Google Colab and ChatGPT
Lecture 4 Step-by-Step Setup Guide
Section 3: Understanding the Analysis Task
Lecture 5 Business Context & Problem Definition
Lecture 6 Dataset Overview & Key Questions
Section 4: Hands-on Data Exploration
Lecture 7 Loading and Inspecting Data
Lecture 8 Data Cleaning Essentials
Section 5: Visual Analysis with the ADME Method
Lecture 9 Basic Data Exploration (Describe & Summarize)
Lecture 10 Age Distribution Analysis
Lecture 11 Gender-based Purchase Analysis
Lecture 12 Age vs. Spending Patterns
Lecture 13 Identifying Customer Segments (KMeans)
Lecture 14 Creating Effective Summary Tables
Section 6: Communicating Your Insights Clearly
Lecture 15 How to Structure Your Findings (Using ADME)
Lecture 16 Effective Communication Tips for Marketing Teams
Section 7: Automating Your Workflow
Lecture 17 Automation Fundamentals
Lecture 18 Building an Automated Workflow (Flowchart & Examples)
Section 8: Course Wrap-up & Next Steps
Lecture 19 Course Summary and Review
Lecture 20 Continuing Your Data Journey (Resources & Next Steps)
This course is for beginners and non-coders who want to analyze data, create charts, and tell better stories using ChatGPT and Google Colab. It's ideal for marketers, product managers, business analysts, students, and career changers looking to build practical data skills without writing complex code.