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 ...

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 ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Suggested Citation: "3 Data Science Education in the Future." National Academies of Sciences, Engineering, and Medicine. 2018. Envisioning the Data Science Discipline: The Undergraduate Perspective: ...

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 ...

This online data science specialization is ideal for learners interested in embarking on a career within the field of data science. You will review the foundational mathematics that are critical in ...

Some of the world’s best tech-led colleges and universities offer specialized Master’s Degree courses in these subjects, and often they are also world leaders in research, partnered with Silicon ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

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 ...