EDF Data Visualization Professional Courseware
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- Taschenbuch
- eBook ausgewählt
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Form:Einzelkauf Download
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Sprache:Englisch
84,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Nein
Erscheinungsdatum
05.02.2023
Verlag
Van Haren PublishingSeitenzahl
102 (Printausgabe)
Dateigröße
13734 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9789401809894
In order to leverage data, decision makers and management need to be able to visualize the vast amount of information and data that is being collected and generated nowadays in an interactive and readable manner.
People are visually orientated, this means that data visualization can be a great help in analyzing, interpreting and sharing data quickly.
Visualizing data effectively, enables organizations to respond quickly to changes. Examples include customer behavior, business processes or (financial) markets information.
This course is based on the standards set by Effective Data Foundation (EDF). After completing the course a delegate can become a Certified EDF Visualization Professional by passing the Certified EDF Visualization Professional exam. This is also known as the DATAVIS certification and exam.
Modules included in the certification are:
- Visual and quantitative thinking;
- Visualizing data effectively;
- Building blocks of data visualization;
- Data processing & data storytelling.
People are visually orientated, this means that data visualization can be a great help in analyzing, interpreting and sharing data quickly.
Visualizing data effectively, enables organizations to respond quickly to changes. Examples include customer behavior, business processes or (financial) markets information.
This course is based on the standards set by Effective Data Foundation (EDF). After completing the course a delegate can become a Certified EDF Visualization Professional by passing the Certified EDF Visualization Professional exam. This is also known as the DATAVIS certification and exam.
Modules included in the certification are:
- Visual and quantitative thinking;
- Visualizing data effectively;
- Building blocks of data visualization;
- Data processing & data storytelling.
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