Broaden your analytics skillset through a month-long experiential learning project and work with actual companies using real-world datasets
Benefits
Fall Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours a week for 8 weeks. The application closes September 10.
Fall 2023 Analytics Accelerator Projects
Align is seeking out the assistance of Analytics at Wharton to understand key customer attributes and behaviors for optimal growth program candidacy and success across program tiers.
In collaboration with Analytics at Wharton, IKEA wants to focus on their e-commerce platform to better understand the behaviors of their website visitors to be able to predict future journeys and actions, such as adding items to their cart, viewing products, making a purchase, and more.
Online marketplace TaskRabbit matches freelance labor with local demand. They hope to quantify the value of partnering with IKEA, including investigations into business growth by geographic region, customer satisfaction, and value of customers who were introduced to TaskRabbit through IKEA.
Leading real estate marketplace Zillow is partnering with Analytics at Wharton to create two predictive models, factoring in internal controls and external societal influences, to forecast website visits and Zillow Home Loan applications.
How it Works
Who Is Eligible?
Penn and Wharton undergraduate and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.
Apply
Submit your application through a highly competitive selection process to become a Wharton Analytics Fellow and get assigned to a company based on your skillset and their needs.
Launch
Kick off the project, meet with your assigned company, and discuss their real-world business challenge.
Analyze
Working closely with a Wharton mentor, analyze the dataset using programming languages and tools of your choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.
Present
Share your findings and recommendations with your company at the Analytics Accelerator Summit.
“Having the opportunity to work with real datasets, I was able to gain a deeper understanding of many of the statistical concepts I had learned in my coursework. After working on three Analytics Accelerators, I feel confident in my ability to tackle a real-world, unstructured, data science problem.”
– Ashley Clarke, W’23
Why the Analytics Accelerator?
As a part of the spring 2022 Analytics Accelerator, a team of Wharton and Penn Engineering students spent six weeks helping the newly merged Philadelphia Orchestra and Kimmel Center, Inc. identify opportunities to strengthen audience growth and attendance frequency by exploring their combined data.
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