Center for Innovation and Entrepreneurship

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Upcoming Events 

1 Million Cups Wilmington


Wednesdays, 9:00 A.M. via Zoom

Reignlist, Inc. - October 28

Our mission is to create the largest comprehensive real estate platform that safeguards the interests of our professionals and consumers. 

Register Here

YEPex Monthly Meet-Up

The Third Monday of each month, 4:30 P.M. - 5:30 P.M. via Zoom

We are in our third year of this new pilot program called the Youth Entrepreneurship Program experience. This program is for 9-12 graders who have any interest in innovation and entrepreneurship. We will have a brief program followed by an engaging hands on activity. FREE for EVERYONE!

November 16 : Social Entrepreneurship, Register Here

December 14 : Blue Economy, Register Here

nc fILM forum: Cucalorus 101 with Robert Redhead

Second Tuesday of Every Month

November 11, 5:30 P.M. - 6:30 P.M.

FREE Event! 

Register via Zoom HERE

AI Bridge / Port City Analytics Joint Meetup 

POSTPONED DUE TO COVID-19 - will announce a new date in the future!

The Art and Science of Data Preprocessing - Tools, Tips and Best-Practice Sharing

As data analysts well know, real-world data is usually not ready to be used in analytical tasks. It is often dirty, misaligned, missing data, duplicate records and other inaccuracies. A tedious and time consuming process called data preprocessing is necessary to convert the raw data into a well-defined form for analytics models. Time spent on data preprocessing can be tedious and typically takes much longer than the time spent on the rest of the analytics tasks. There are now a variety of software tools available to data science practitioners which automate the process and can significantly reduce the time spent on data preprocessing tasks.

Dr. Ralph Reda, a Certified Analytics Professional, and UNCW instructor of Business Analytics will provide an overview of the data preprocessing steps and demonstrate some of the tips and tools that make data preparation quicker and easier. Session attendees are also encouraged to share their best practices and techniques with the audience. Feel free to bring a laptop to follow along or to share your dirty data challenges.

FREE for everyone!
Refreshments will be served.
For questions, contact Professor Reda at