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 ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

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 ...

Gain skills that are invaluable in today’s world. Prepare to enter one of the most rapidly growing fields with a Master’s in Data Science program. Be in-demand and set yourself up for a future-proof ...

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 ...

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: ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

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 ...