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Data Visualisation (EN)
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In order to extract value from data, it is important to convey your content to your audience in an organized and clear way. The way to do that is through effective data visualization.
Training codeCGADAVISCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€750,00excl. VAT No extra costs.Book Data Visualisation (EN) now
In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.
What is Data Visualisation
Data is becoming increasingly accessible and available to everyone within your company. To extract value from that data, it is important to communicate your insights to your audience in an understandable and clear way. The way to do that is through effective data visualization.
Data visualization is a graphical representation of data in the form of graphs, charts and maps. This helps you to gain insight into patterns, trends, relationships, exceptions and to guide decision-making. In addition, our visual system consists of pattern seekers, which are very complex, subtle and based on rules. Failure to follow those rules correctly can cause information to be misinterpreted.
The following topics are discussed during this training:
Which type of visualization do I choose for which purpose and why?- How do I deal with layout technical matters (color, shape, saturation)
- How do you use data visualization to tell your story?
- What are the do's and don'ts for creating a visualization?
- What does a design for an effective report/dashboard look like?
- How can the psychology of the human brain be applied to create effective reports?
- What are the basic theories for visual perception (e.g. Gestalt principle)?
- What are Stephen Few's 8 Core Principles?
During the interactive session, the above points are discussed on the basis of cases. You can also put the acquired theory into practice through assignments.
Who should attend Data Visualisation
The Data Visualization training is suitable for:
- Starters at the beginning of their career
- Report Developers
- Data Analysts
- Business Analysts
- Information Analysts
- Data Scientists
Prerequisites
There are no specific requirements to participate in this training. Experience with a reporting tool is an advantage (Power BI, Tableau, etc.).
During this training you need a laptop.Objectives
After this training, the participant has knowledge of the following topics:
- Explain why data visualization is important
- What types of data visualizations exist and when do you use which?
- How to make an impact with data visualization
- How to develop an effective report/dashboard
- How the human brain processes visual information and how you can apply this to visualize data
In order to extract value from data, it is important to convey your content to your audience in an organized and clear way. The way to do that is through effective data visualization.
Training codeCGADAVISCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€750,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.What is Data Visualisation
Data is becoming increasingly accessible and available to everyone within your company. To extract value from that data, it is important to communicate your insights to your audience in an understandable and clear way. The way to do that is through effective data visualization.
Data visualization is a graphical representation of data in the form of graphs, charts and maps. This helps you to gain insight into patterns, trends, relationships, exceptions and to guide decision-making. In addition, our visual system consists of pattern seekers, which are very complex, subtle and based on rules. Failure to follow those rules correctly can cause information to be misinterpreted.
The following topics are discussed during this training:
Which type of visualization do I choose for which purpose and why?- How do I deal with layout technical matters (color, shape, saturation)
- How do you use data visualization to tell your story?
- What are the do's and don'ts for creating a visualization?
- What does a design for an effective report/dashboard look like?
- How can the psychology of the human brain be applied to create effective reports?
- What are the basic theories for visual perception (e.g. Gestalt principle)?
- What are Stephen Few's 8 Core Principles?
During the interactive session, the above points are discussed on the basis of cases. You can also put the acquired theory into practice through assignments.
Who should attend Data Visualisation
The Data Visualization training is suitable for:
- Starters at the beginning of their career
- Report Developers
- Data Analysts
- Business Analysts
- Information Analysts
- Data Scientists
Prerequisites
There are no specific requirements to participate in this training. Experience with a reporting tool is an advantage (Power BI, Tableau, etc.).
During this training you need a laptop.Objectives
After this training, the participant has knowledge of the following topics:
- Explain why data visualization is important
- What types of data visualizations exist and when do you use which?
- How to make an impact with data visualization
- How to develop an effective report/dashboard
- How the human brain processes visual information and how you can apply this to visualize data
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e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| B.1.Application Development | |||||
| D.10.Information and Knowledge Management |