MATH42715: Introduction to Statistics for Data Science
Durham University ยท England ยท MATH42715
MATH42715: Introduction to Statistics for Data Science is a subject at Durham University, England. It covers topics like applied-statistics, data-science, statistical-computing, statistical-learning. It is part of 8 degrees. The information below is compiled from public course material โ approximate, not official.
Durham University
MATH42715
3.00
Topics covered
Degrees that include MATH42715: Introduction to Statistics for Data Science
- Computer Science and Mathematics G425
- Computer Science and Mathematics MSci G425
- Master of Data Science (Digital Humanities) G5K923
- Master of Data Science G5K823
- Master of Data Science (Health) G5P323
- Master of Data Science (Social Analytics) G5P423
- Mathematics and Statistics G111
- Mathematics and Statistics G114
Frequently asked questions
What is MATH42715: Introduction to Statistics for Data Science about?
MATH42715: Introduction to Statistics for Data Science covers topics like applied-statistics, data-science, statistical-computing, statistical-learning.
Which degrees include MATH42715: Introduction to Statistics for Data Science?
MATH42715: Introduction to Statistics for Data Science is part of 8 degrees, including Computer Science and Mathematics G425, Computer Science and Mathematics MSci G425, Master of Data Science (Digital Humanities) G5K923, Master of Data Science G5K823, Master of Data Science (Health) G5P323.
How many credit points is MATH42715: Introduction to Statistics for Data Science?
MATH42715: Introduction to Statistics for Data Science at Durham University is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is MATH42715: Introduction to Statistics for Data Science taught?
MATH42715: Introduction to Statistics for Data Science is taught at Durham University, England.
Studying MATH42715: Introduction to Statistics for Data Science?
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Sources: Durham University 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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