Worlds Collide: Neuroscience and Marketing Meet in the Classroom

Visual Marketing Lab

Wharton Professors Barbara Kahn and Elizabeth “Zab” Johnson wanted their students to have a modern approach to understanding consumer behavior in an increasingly digital world. So, they created MKTG 239/739: Visual Marketing, which combines the principles of visual neuroscience with the practical applications of marketing. But the innovative pedagogy doesn’t stop there. Read More

Opening Doors and Closing Gaps: How Wharton is Creating Access and Equality for Women in Data Science and Analytics

illustration of women

Only 15% to 22% of data scientists are women, a disheartening statistic that Wharton is working to change. Since it was established three years ago, Analytics at Wharton has been forging a path for more women to enter the field through aggressive recruitment, special programs, and mentorship. The effort is paying off with more female participation in its programs this year than ever before.Read More

Paying It Forward: How Wharton Data Science Academy Alumna Sydney Bramen Is Creating Impact Through Analytics

Head shots of WiDS speakers

Wharton Data Science Academy alumna Sydney Bramen hopes to learn more about applying data science to real-world problems, including education inequality. Bramen tutors younger students through two Philadelphia volunteer organizations, SquashSmarts and OurVillage, so she’s seen the inequality firsthand. In fact, in her junior year, she learned the coding language Swift to create an app to help a struggling student learn fractions. Bramen says OurVillage now recommends the app for its math tutors.Read More

Wharton Students Help Zillow Turn Data into Results

Analytics Accelerator Zillow Team

The Zillow project promised to be a tough one. The online real estate company wanted to find meaningful patterns in the copious data it collects on site visitors, so the leaders turned to Wharton Customer Analytics for help. The project was put into the Analytics Accelerator, giving Zillow access to a team of Wharton and Penn students who worked for seven weeks to solve the problem. Keshav Ramji, W’24 EAS’24, who is earning a dual degree in economics and computer science, was one of those students.Read More