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Data visualisation

Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.

Utbildningsfakta

Kod: 1ST915

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 number 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. 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.

Behörighet

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

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

  • Data visualisation

    Linnaeus University (Kalmar Växjö)

    Startdatum:

    Slutdatum:

    Studietakt: 100 %

Källa och uppdatering

Skolverket Susa-navet

Hämtad: .

Publicerad: .

Visa källversion

Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d

Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Senast ändrad enligt källan: 2025-12-22T10:56:30