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Linnaeus University (Kalmar Växjö)
Advanced Data Visualization
Today, we live in a world where the advanced data storage and computing resources enable the production, processing, and storage of an exponentially growing volumes of data. Data have become ubiquitous and pervasive in almost all areas of human activity, i.e., business, finance, medicine, science, etc. Therefore, le…
- Higher education
- Information unavailable
- 9 November 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
Today, we live in a world where the advanced data storage and computing resources enable the production, processing, and storage of an exponentially growing volumes of data. Data have become ubiquitous and pervasive in almost all areas of human activity, i.e., business, finance, medicine, science, etc. Therefore, learning from data has become essential in research, administration, and business, etc. One way to learn from the data is through data visualization.Those with the skills to create engaging and effective data visualizations have the power to communicate detailed data insights and findings to the audiences of different backgrounds, leading to actionable insights for strategic decision-making. Data visualization also provides a concise and interactive way to present the unique and special attributes hidden in data. This course focuses on the application of different visualization methods. It consists of a few of projects, each designed to give students the skills and the ability to apply different visualization techniques. It also provides students with alternative ways of dealing with complex data structures that may not follow the standard data storage approaches and the advanced knowledge in the visualization of statistical models. All the projects will be carried out using R programming software, but other software such as Python, SAS, STATA may also be used. This course will give to students a competitive edge in the job market.
Admission scores
Entry requirements
Statistics 15 credits (descriptive statistics, statistical inference, and regression analysis), or the equivalent. English 6, or the equivalent.
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
- 2026-11-09
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lnu.4na035.f3296.20262
- Last checked
- 2026-09-23T10:38:15.020499+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
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
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About the provider
Linnaeus University (Kalmar Växjö)
Provider for the published education offering.
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.lnu.4na035.f3296.20262
- Offering identity in the source
- e.uoh.lnu.4na035.f3296.20262
- Education-form source code
- HS
- Education code in the source
- 4NA035
- Change time according to the source
- 2025-09-30T10:22:18
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.