Data visualisation

Education facts

Code: 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.

Entry requirements

Statistics 15 credits (descriptive statistics, statistical inference, and regression analysis), or 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.

• Data visualisation

  Linnaeus University (Kalmar Växjö)

  Start date: 9 November 2026

  End date: 13 December 2026

  Pace of study: 100 %