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Marketing Data Analysis Using AI (ChatGPT, Claude, & Python)
Date & Time
Mon, November 9, 2026
10:00 AM PST
01:00 PM EST
Duration
120 Mins
Webinar ID
IQW26K1196
Level
Basic & Intermediate
Speaker
Mr.Reuben Bernard A
You will learn the following :
- Introduction to AI-powered marketing analytics
- Developing a structured approach to marketing data analysis
- Uploading datasets into Google Colab
- Exploring and understanding large datasets
- Cleaning and standardizing marketing data
- Working with Pandas for data manipulation
- Using AI to generate Python code
- Performing exploratory data analysis (EDA)
- Identifying trends, patterns, anomalies, and seasonal effects
- Measuring customer behavior and campaign effectiveness
- Creating charts and visualizations with Matplotlib and Seaborn - Linear graphs, bar and pie charts, scatter plots, heat maps, etc.
- Summarizing results and communicating insights effectively
Overview of the webinar
Marketing decisions are only as good as the data behind them. Whether you're analyzing customer purchases, campaign performance, product demand, or seasonal buying patterns, AI can dramatically simplify the entire analysis process.
In this hands-on webinar, you'll learn how to perform an end-to-end marketing data analysis using a large real-world dataset containing more than 15 million records.
Instead of spending hours writing complex code, you'll discover how ChatGPT or Claude can generate Python code needed for accurate data analysis and visualizations. (Note: You do not need knowledge or prior experience in Python code for this session).
During the webinar, we'll guide you through every stage of the analytical process—from importing raw data to producing professional visualizations and derive critical business insights/ recommendations.
By the end of the session, you'll understand how to use AI to automate repetitive data analysis tasks, identify meaningful patterns, and generate insights that support smarter marketing/ business decisions.
Who should attend?
- Marketing Analysts
- Business Analysts
- Data Analysts
- Research Analysts
- Business Intelligence
- Sales Analysts
- MIS Professionals
- Marketing Professionals
- CMOs, CIOs, COOs
- CRM Professionals
- Product Management
- Product Marketing
- Anyone interested in using AI for high-volume data analysis
Why should you attend?
After completing this webinar, you'll have a practical, repeatable workflow for analyzing high-volume marketing data using AI. Instead of relying on manual spreadsheet analysis or advanced programming skills, you'll learn how to leverage AI to accelerate your work, improve reporting accuracy, and uncover insights that help drive smarter marketing decisions.
Whether you're evaluating campaign performance, understanding customer behavior, or presenting data-driven recommendations to stakeholders, the techniques covered in this session can be applied immediately to your own marketing data.
Faculty - Mr.Reuben Bernard A
Reuben is an alumnus of the Indian Institute of Management, Bangalore, and the Indian Institute of Technology, Chennai. He has over two decades of experience in B2B digital marketing, product marketing, developing and implementing GTM strategies, hiring and building world-class teams, and driving businesses to meet and exceed revenue and profitability targets.
Over the past 2 years, Reuben has been a power user of various LLMs and AI-powered tools. He has shared his knowledge and experience with thousands of working professionals through hands-on sessions; both webinars and in-person seminars. These sessions have immensely helped participants increase their productivity through AI adoption.
His experience includes working at innovative tech companies, including startups, mid-size, and Fortune 1000 companies. A considerable portion of his work experience has been at US-based companies with businesses catering to the North American markets. He also serves as an Adjunct Professor, teaching Business Strategy, Marketing, and Entrepreneurship, and a Member of the Board of Studies, at the Pondicherry Technological University, India.