Mathematical Foundations for Data Analytics
University of Pennsylvania ยท PA ยท MTHS1000
Mathematical Foundations for Data Analytics is a subject at University of Pennsylvania, PA. It covers topics like business-analytics, computational-mathematics, data-analytics, data-science. It is part of 12 degrees. The information below is compiled from public course material โ approximate, not official.
University of Pennsylvania
MTHS1000
3.00
Topics covered
Degrees that include Mathematical Foundations for Data Analytics
- Creative Studies, BAAS
- Data Analytics and Psychological Sciences, BAAS
- Data Analytics and Social Sciences, BAAS
- Individualized Studies, BAAS
- Leadership & Communication, Certificate
- Leadership and Communication, BAAS
- Literature, Culture and Tradition, BAAS
- Organizational Studies, BAAS
- Physical and Life Sciences, BAAS
- Science Foundations, Certificate
- Statistics and Data Science, MA
- Writing, BAAS
Frequently asked questions
What is Mathematical Foundations for Data Analytics about?
Mathematical Foundations for Data Analytics covers topics like business-analytics, computational-mathematics, data-analytics, data-science.
Which degrees include Mathematical Foundations for Data Analytics?
Mathematical Foundations for Data Analytics is part of 12 degrees, including Creative Studies, BAAS, Data Analytics and Psychological Sciences, BAAS, Data Analytics and Social Sciences, BAAS, Individualized Studies, BAAS, Leadership & Communication, Certificate.
How many credit points is Mathematical Foundations for Data Analytics?
Mathematical Foundations for Data Analytics at University of Pennsylvania is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Mathematical Foundations for Data Analytics taught?
Mathematical Foundations for Data Analytics is taught at University of Pennsylvania, PA.
Studying Mathematical Foundations for Data Analytics?
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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