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There is 1 module in this course
In today's fast-paced e-commerce world, staying one step ahead is key to success. The "Gen AI for Digital Marketing and E-commerce Analyst" course is designed to equip digital marketers and e-commerce analysts with the knowledge and skills needed to effectively use generative artificial intelligence for data analysis and decision-making.
Through a combination of discussions, video demonstrations, and practical exercises, participants will gain a clear understanding of how GenAI can enhance the efficiency of data collection and analysis for successful business operations.
This course caters to a diverse group of learners, including beginners in e-commerce analytics and digital marketing seeking to enhance their analytical capabilities with AI. It's ideal for junior analysts and marketers wanting to integrate AI tools into their workflows, as well as small business owners and entrepreneurs looking to leverage AI for better business insights and a competitive edge. This broad range of participants fosters a dynamic learning environment where varied experiences and insights are shared.
Participants should have a foundational understanding of digital marketing, e-commerce, and data analysis, including familiarity with basic data collection, processing, and analysis techniques. Experience with tools like Google Analytics 4, Google Cloud Platform, Google Sheets, and Looker Studio is beneficial. An open mindset and willingness to experiment with Generative AI (GenAI) tools are essential. While deep technical training isn't required, prior exposure to data analysis will help in better absorbing and applying the course material.
By the end of the course, learners will have a comprehensive understanding of GenAI's role in digital marketing and e-commerce analytics. They will recognize the importance of GenAI, its data collection and processing capabilities, and real-world applications. Participants will analyze key indicators, apply best practices for data analysis, forecasting, and visualization, and plan GenAI implementation in their businesses. Additionally, they will assess the benefits of GenAI, its impact on business goals, and identify steps for further skills development.
In today's fast-paced e-commerce world, staying one step ahead is key to success. This course is designed to equip digital marketers and e-commerce analysts with the knowledge and skills needed to effectively use generative artificial intelligence for data analysis and decision-making.
What's included
6 videos5 readings2 assignments1 peer review
Show info about module content
6 videos•Total 52 minutes
Introduction to GenAI for Digital Marketing and E-Commerce Analysts•11 minutes
History & Background of GenAI for Digital Marketing and E-Commerce Analysts•10 minutes
Demo for Analyzing Accumulated Data from GA4 with Gemini•8 minutes
Remediating Risks and Ethical Concerns•10 minutes
Demo for Customer Segmentation with ChatGPT•11 minutes
Closing Thoughts: What’s Next•2 minutes
5 readings•Total 45 minutes
Our Roadmap & Resources Available: How to Get Started•5 minutes
Glossary for GenAI and Digital Marketing and E-Commerce Analysts•10 minutes
Demo for Processing Data with Google Sheet and Chat GPT•10 minutes
Demo for Modeling Data and Creating Reports with Looker•10 minutes
Demo for Visualizing Data and Describing Reports with Beautiful.ai•10 minutes
2 assignments•Total 50 minutes
GenAI for Digital Marketing and Ecommerce Analysts•20 minutes
GenAI Target Audience Analysis Project•30 minutes
1 peer review•Total 15 minutes
Practice Project for Digital Marketing and E-Commerce Analysts•15 minutes
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Reviewed on Mar 4, 2025
Great course with detailed insights into how to actually use AI to get great results.
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Reviewed on Sep 1, 2025
I learned the GA4 tool for analyzing the date using Gemini or ChatGPT, but as I was seeing a detailed more about it, but course as a beginner was truly good
What does GenAI-assisted marketing and e-commerce analysis mean in this course?
It means using generative AI to help interpret marketing data, user behavior, and business questions in a digital commerce context. The course emphasizes using AI to support analysis and decision-making with clear goals and checked outputs, rather than treating it as an automatic final answer.
When would you use GenAI-assisted marketing and e-commerce analysis?
You would use it when you need to turn collected marketing or e-commerce data into clearer next steps, especially in repetitive or multi-source analysis work. In this course, that includes understanding customer behavior, spotting useful patterns, segmenting audiences, and informing forecasts or recommendations.
How does GenAI-assisted marketing and e-commerce analysis fit into a broader workflow?
It fits after data has been gathered and organized and before findings are turned into reports, visualizations, or actions. The course treats GenAI as a layer for exploring patterns, refining questions, and shaping better-informed recommendations.
How is GenAI-assisted marketing and e-commerce analysis different from using AI for content creation?
Here, the main job is to work through data and make sense of performance, behavior, and audience patterns, not just generate copy or ideas. The course may touch campaign planning, but its core focus is analytical thinking, interpretation, and decision support.
Do you need any prerequisites before learning GenAI-assisted marketing and e-commerce analysis?
A basic understanding of digital marketing, e-commerce, and data analysis is helpful before you start. You do not need deep technical training, but being comfortable with basic data collection, processing, and digital tools will make the material easier to follow.
What tools, platforms, or methods are used in this course?
The course uses conversational GenAI tools together with Google Analytics 4 and common spreadsheet or reporting workflows. The method centers on setting a goal, asking clear questions, reviewing the output, and refining the analysis.
What specific tasks will you practice or complete in this course?
You practice organizing and preparing marketing data, asking GenAI to analyze user behavior, segmenting or prioritizing audiences, and generating forecasts. You also turn the results into practical recommendations and clear report-style summaries.