This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

Click each topic area to learn more about specific courses. APPM 5720: Open Topics in Applied Mathematics Provides a vehicle for the development and presentation of new topics that may be incorporated ...

This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is ...

Brown's research interests focus on both theoretical data science topics and the application of data science techniques to other domains. She works with faculty across campus and at other universities ...

What makes the SLU health data science program unique? SLU's health data science program provides strong training in data collection, data cleaning and preprocessing, statistical analysis, and ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

Future entrepreneurs' decision-making processes will be greatly impacted by the increasing integration of data science and artificial intelligence into MBA programmes. Finance, marketing, operations, ...

Oprah Winfrey was fired from her first job in television. Steven Spielberg was rejected from film school multiple times, and Michael Jordan didn’t make his high school’s varsity basketball team.

In data science, theory informs practice, while application drives change. At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in ...

All fields of science are experiencing an explosive growth of data, requiring new techniques to analyze, manage, store and visualize this information in order to ...