The Data Science Bowl is an annual data science competition that challenges participants to solve some of the world's biggest problems through data analysis and machine learning. It is one of the largest and most prestigious data science competitions in the world, attracting thousands of participants from across the globe. The competition is hosted by Booz Allen Hamilton and Kaggle, and offers significant cash prizes, as well as the opportunity to make a real-world impact.
0 / day
0 / day
0 pages per visit
Domain Rating
Domain Authority
Citation Level
English, etc
A yearly event that brings together data scientists from around the world to solve pressing global issues.
Focuses on solving actual problems faced by society, using data science and machine learning techniques.
Encourages teamwork and collaboration among participants, fostering a community of data science professionals.
Offers significant monetary rewards for top-performing teams, in addition to recognition and networking opportunities.
Provides participants with access to tutorials, datasets, and forums to enhance their skills and knowledge.
Attracts a diverse group of participants from various countries, promoting a global exchange of ideas and techniques.
Entries are evaluated by a panel of experts in data science, machine learning, and the specific problem domain.
Aims to produce solutions that can be implemented to make a significant positive impact on the world.
Booz Allen Hamilton and Kaggle jointly organize the Data Science Bowl.
Open to individuals and teams worldwide, with no entry fee required.
Previous competitions have focused on areas such as healthcare, education, and environmental conservation.
Fosters a strong community of data science enthusiasts and professionals through forums and social media.
Supported by leading organizations in technology, data science, and philanthropy.
Solutions developed during the competition have led to significant advancements and implementations in various fields.
Security headers report is a very important part of user data protection. Learn more about http headers for datasciencebowl.com