Most Data Visualization training courses, including the Data Visualization seminars and training courses, are designed to be taken part-time.

This means that you can pursue a career and do not have to worry about a major loss of salary. However, it makes sense to reduce your workload somewhat so that you have enough time for lessons, preparation and learning.

The admission requirements for training in Data Visualization may vary from provider to provider.

For example, a Bachelor's degree in Digital Business Management, Information Science, Multimedia Production or Photonics is usually required for a Master's degree in Data Visualization. Prospective students with a Bachelor's or Master's degree in another subject area also require a corresponding language certificate in English (level B2) or proof of English lessons at Bachelor's level.

Data Visualization seminars and training courses often do not require specific (Universities) degrees. However, relevant professional experience may be required.

It is best to contact the provider of your choice directly and clarify the admission requirements with them.

The degree you receive after a Data Visualization course depends on the course offered.

Degree courses at university level (university of applied sciences, university) lead to a federally recognized Bachelor's or Master's degree.

Data Visualization seminars or training courses usually conclude with a school certificate.

A data visualization seminar or training course is basically aimed at anyone interested in the topic of data and its processing, analysis and visual representation.

Some seminars and training courses are explicitly aimed at professionals with no previous experience in this area. Others are aimed at experienced professionals in data visualization who have already worked with it and now want to delve deeper into specific topics.

As the target group may vary from provider to provider or from course to course, we recommend that you contact the school of your choice directly.

Data visualization is definitely the topic of the future, especially in view of the vast amounts of new data that are generated every day and have to be processed, edited, analyzed, interpreted and processed accordingly.

Data, for example raw data, cannot actually tell a story or evoke emotions per se, but there are experts in data visualization who can use appropriate technologies, programs and techniques to present them visually and thus tell a story (visual storytelling). This means that even complex processes can be explained simply and comprehensibly - skills that will not only be in demand now, but also in the future.