
Set up the tools, load and explore your data, and align insights with business goals; visualize with the Admm method, communicate findings to stakeholders, and automate workflows.
Set up google colab and chatgpt, create a notebook named data visualization demo, and copy code to load a csv file and run python in your browser with no installation.
Frame business context and problem by analyzing customer behavior in an e-commerce system. Analyze the Look dataset’s order items to inform targeted campaigns and loyalty while using data visualization.
Explore a sample order items dataset with user id, age, gender, order id, sale price, status, and created at. Identify biggest spenders and segment customers using Colab and ChatGPT.
Learn to load and inspect data in Google Colab by uploading a CSV, previewing with code, describing statistics, and checking missing values with ChatGPT.
Explore basic data exploration with descriptive statistics using df.describe, work through hands-on code in Colab, fix errors with ChatGPT, and interpret results to reveal pricing, purchases, and business insights.
Investigate gender-based purchase analysis across three gender categories, using ChatGPT and Colab to generate code, visualize distribution across price segments, and compare male and female spend for quick insights.
Apply k-means to form two clusters, visualize and summarize each segment with ChatGPT in Colab. Discover insights like younger, low spend versus older, high purchase frequency and tailor offers.
Automate your data analysis workflow using Python or ChatGPT to load data automatically, chain steps, and generate templated reports for repeatable insights.
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 Colab
Use ChatGPT to write, explain, and debug Python code-no experience needed
Create engaging charts like histograms, bar charts, scatter plots, and cluster maps
Apply the ADME storytelling method to turn data into business-ready insights
Automate your workflow to perform faster, repeatable analysis
You’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.