TRAINING THE NEXT GENERATION OF DATA SCIENTISTS

Advancing Data Science Education and Career Development Using Sports Analytics

Morgan State’s Marvin Webster will be inducted in the National Collegiate Basketball Hall of Fame thanks to Baltimore student athletes and their analytics club

real-world data analysis projects

Supporting Students in STEM

Sports Analytics Club Program (SACP) develops and supports SACP Sports Analytics Clubs at high schools and middle schools across the United States. We aim to promote equity excellence in the opportunity for young women, Black and Latino youth to be competitive in the field of Data Science.

 

Many young people in underrepresented communities may not have the opportunity to explore STEM and data science careers. By providing access to these fields through our data science clubs, students can develop an interest and gain experience that may inspire them to pursue related careers.

 

From data analysis to machine learning to data visualization, our clubs offer a range of opportunities to develop skills needed for STEM careers. Our members have access to cutting-edge tools and technologies and can work on projects across a variety of sports, from basketball to soccer to baseball.

DATA SCIENCE IS THE FUTURE

Practical Application of Data Science

The SACP program is designed to give students a competitive edge in the technology workforce. Our members have access to University Professors and Professional Sports Data Scientists from the NBA, NFL, and MLB, who provide guidance and mentorship throughout their learning journey.

 

Students in our clubs work on real-world projects to develop essential soft skills such as critical thinking, problem-solving, and teamwork. Our program provides a collaborative environment where students can work on sports analytics projects, share ideas, and learn from industry professionals.

 

In addition to gaining valuable technical skills, our students also work on revenue-driven business intelligence research projects. For example, they analyze ticket pricing and fan engagement to provide insights that can help sports organizations drive revenue.

 

Our comprehensive program helps students develop the skills they need to succeed in STEM careers while also providing them with the opportunity to make a real-world impact through sports analytics projects.

Python/R Programming

Python and R have many libraries and functions that allow for easy data collection and cleaning, making it easier for students to manage and prepare data for analysis. Students learn programming concepts and syntax, such as variables, functions, and loops.

Sourcing Data

They then learn how to source data from different sources such as public data repositories, web scraping, and surveys. Including how to clean and prepare the data for analysis, which often involves removing missing values, outliers, and other data quality issues.

Analyze and Aggregate Data

Organizing the data into meaningful groups or categories based on relevant variables. Students can learn how to use statistical methods to analyze data, test hypotheses, and make predictions.

Data Visualizations

Creation of data visualizations such as histograms, scatter plots, and bar charts to better understand the data and communicate their findings.

Program Highlights

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Participating Students
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University Partners
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University Faculty Advisors
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Student Satisfaction
bridging the gap for the underrepresented

Program Benefits

Our program is designed to give students the skills and knowledge they need to pursue careers in data science and sports analytics.  The predicated outcome is diversification in the field of data science and the production of the next generation of Black and Latino men and women Data Scientists.

Program Impact

SACP provides a unique opportunity for high school students to develop valuable skills and gain real-world experience in data analysis and sports management, setting them up for success in future careers in data science.

 

SACP clubs are led by STEM teachers and mentored by university professors and professional sports data scientists. Students in SACP clubs work on real-world projects that use data science to solve problems in sports.

 

In addition to working on projects, SACP clubs also participate in workshops and conferences where they can learn from industry professionals and network with other students interested in sports analytics.

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of students now have a better understanding of a career in STEM
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of students improved in math and statistics
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of students improved their ability to work collaboratively
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of students desire for SACP to continue at their school