Statistics, Machine Learning for Data Science, Second Cycle, 5 Credits
The course deals with machince learning methods used in data science.
ECTS Credits
5 Credits
Level of education
Second cycle, has second-cycle course/s as entry requirements (A1F)
School
Örebro University School of Business
When is the course offered?
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Prerequisites: First-cycle courses of 90 credits in Statistics, alternatively first-cycle courses of 30 credits in statistics and 60 credits in mathematics, alternatively first-cycle courses of 60 credits in statistics including 7.5 credits of Statistical theory and 7.5 credits of Regression analysis/Econometrics. The applicant must also have the courses Inference Theory, Second Cycle, 5 credits, Econometrics, Second Cycle, 7.5 credits and Computer Science, Programming for Statisticians, Second Cycle, 5 credits as well as qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
Selection: Academic points
Application code: H2663
Note: You can only apply to this course in the Swedish Admission Round at antagning.se
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