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Advanced Data Visualization

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: 4NA035

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.

Entry requirements

Statistics 15 credits (descriptive statistics, statistical inference, and regression analysis), or the equivalent. English 6, or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

  • Advanced Data Visualization

    Linnaeus University (Kalmar Växjö)

    Start date:

    End date:

    Pace of study: 100 %

Source and updates

Skolverket Susa-navet

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Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2025-12-18T14:14:50