abstract graphic representing binary data and data science

Dataiku Hackathon

2021 Lubin School and Dataiku Hackathon

We are excited to announce the 2021 Hackathon brought to you by the Lubin School of Business and Dataiku, the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries.

About the Hackathon

The Hackathon presents you with an opportunity to showcase your skills in wrangling and analyzing data, as well as storytelling with data. These are invaluable skills in today’s AI driven world. During this month-long Hackathon you will analyze New York City home sales data to help sellers understand what they should sell their homes for, as well as inform them of the attributes of a home most influential in determining price. You will be provided a dataset of home sales in New York City. Data from external sources may be used to enrich this dataset. You may use any software to analyze (e.g., SAS, SPSS, R, Python) and present the data (e.g., Tableau). In addition, Dataiku will offer support by providing access to their Data Science platform, training materials, and a workshop on storytelling with data.

Kickoff Event

To learn more about the Hackathon, watch the recording of the Kickoff Presentation on October 12, or download the slides from the presentation (PDF).

How to Join

The Hackathon is open to any current Pace University student. There is no limit on the number of teams. Form a team of three or four students and register your team before Friday, October 22. Once registered, access the following free learning resources at Dataiku Academy to aid in the Hackathon: Basics 101-103 and Machine Learning and Scoring Basics.

We recommend forming your group with members from diverse educational backgrounds, skills, and experiences, as these groups tend to perform better. Teams with knowledge of analytical techniques (e.g., regression), presentation software (e.g., Tableau), data analysis software, and presentation skills are likely to do well. You will have until Friday, November 19 to complete and submit your work.

No teammates? No problem! Individual students may email Prof. Lala at vlala@pace.edu to be placed in an existing team.

Free Storytelling with Data Workshop

On Monday, October 18, at 4:00 p.m., Dataiku offered a free Storytelling with Data workshop.

Questions?

Contact Professor Vishal Lala, Marketing Department, vlala@pace.edu.