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Lund University
Mathematical statistics: Data Analysis, Statistical Learning and Visualization with Project
<p>The overarching goal of the course is to give an overview of basic data wrangling and visualization, focusing on the ability to identify and illustrate important features of a data set.</p><p>Basic methods for data handling and common visualisation methods for data. Methods for unsupervised and supervised learnin…
- Higher education
- Information unavailable
- 18 January 2027
- Lund
- Information unavailable
- 50 %
Overview
<p>The overarching goal of the course is to give an overview of basic data wrangling and visualization, focusing on the ability to identify and illustrate important features of a data set.</p><p>Basic methods for data handling and common visualisation methods for data. Methods for unsupervised and supervised learning such as: clustering; hierarchical clustering; and regression and decision tree methods for classification and regression problems. Methods for model selection and validation such as: bootstrap, split of data into training and test, and cross-validation.</p>
Admission scores
Entry requirements
For admission to the course, general entry requirements and 60 ECTS credits in Science, Technology, Engineering and/or Mathematics including knowledge equivalent to at least on of the flollowing courses: MASA03 Mathematical statistics: Basic course, 15 ECTS, MASB13 Mathematical Statistics for Physicists 7.5 ECTS, MASB02 Mathematical Statistics for Chemists 7.5 ECTS. English course 6/B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.masc06.52903.20271
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
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- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.masc06.52903.20271
- Offering identity in the source
- e.uoh.lu.masc06.52903.20271
- Education-form source code
- HS
- Education code in the source
- MASC06
- Change time according to the source
- 2026-07-06T16:42:53
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.