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January 14, 2025
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Recommended experience
Intermediate level
Basic Python skills, data processing (Pandas), machine learning (clustering), data manipulation (SQL/PySpark), and basic API knowledge.
Recommended experience
Intermediate level
Basic Python skills, data processing (Pandas), machine learning (clustering), data manipulation (SQL/PySpark), and basic API knowledge.
Build a PySpark pipeline to clean, transform, and prep product data for analysis.
Use K-means with OpenAI embeddings to cluster similar products and visualize.
Create a recommendation system to suggest products based on recent user activity.
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November 2024
Only available on desktop
Did you know that personalized product recommendations can increase sales by up to 20%? As consumers, we all appreciate suggestions tailored to our tastes, and as AI engineers, we can harness data to deliver that experience.
This Guided Project was created to help data analysts and AI enthusiasts learn how to build scalable recommendation systems to enhance customer experience and drive sales. This 2-hour project-based course will teach you how to construct a data processing pipeline using PySpark, implement K-means clustering with OpenAI text embeddings, and develop a recommendation system that suggests products based on user behavior. To achieve this, you will create a personalized product recommendation system by working through a real-world scenario where an e-commerce company needs to improve its recommendation capabilities. This project is unique because it combines powerful tools like PySpark and OpenAI's embeddings for hands-on experience in creating data-driven recommendations. To be successful in this project, you should have basic Python programming skills, familiarity with data processing libraries like Pandas, a basic understanding of machine learning concepts, and some experience with APIs and data manipulation using SQL or PySpark.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set Up the Project Environment
Prepare the Dataset for Analysis
Cluster Products Using K-means
Visualize Product Clusters
Highlight Recently Viewed Products
Recommend Products Based on Recently Viewed Items
Basic Python skills, data processing (Pandas), machine learning (clustering), data manipulation (SQL/PySpark), and basic API knowledge.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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University of Minnesota
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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