Effective Data Visualization: Transform Information into Art faq

learnersLearners: 5,200
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Data visualization is an art form that can transform information into a powerful visual story. In this course, you'll learn how to develop an emotional attachment to your chosen topic before delving into how to find and harvest data in Excel in preparation for your visualisation. You'll also start by sketching your ideas and experimenting with colours, shapes, and layout in Adobe Illustrator. Then, to support your data design, add annotations and a title. Finally, learn how to solicit feedback on your work and make any final adjustments before sharing it with the world.

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Course Feature

costCost:

Paid

providerProvider:

Domestika

certificateCertificate:

Paid Certification

languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from Domestika platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 04th, 2023]

This course, Effective Data Visualization: Transform Information into Art, provides an overview of the process of transforming data into art. Students will learn how to identify a topic to illustrate with data, how to find and harvest data in Excel, how to sketch ideas and experiment with colors, shapes, and layout in Adobe Illustrator, and how to incorporate graphs from Excel. Additionally, students will learn how to add annotations and a title to support their data design, how to solicit feedback on their work, and how to make any final adjustments before sharing their work with the world.

[Application]
After taking this course, participants will be able to apply the knowledge they have gained to create effective data visualizations. They will be able to identify a topic to translate into a data illustration, find and harvest data in Excel, sketch ideas and experiment with colors, shapes, and layout, incorporate graphs from Excel, add annotations and a title, solicit feedback on their work, and make any final adjustments before sharing it with the world.

[Career Path]
The career path recommended to learners of this course is Data Visualization Designer. A Data Visualization Designer is responsible for creating visual representations of data and information to help people understand complex concepts. They use a variety of tools, such as charts, graphs, and diagrams, to create visualizations that are both aesthetically pleasing and informative. They must be able to interpret data and create visualizations that accurately represent the data. They must also be able to communicate their findings to stakeholders in a clear and concise manner.

The development trend of this job position is that it is becoming increasingly important in the modern world. With the rise of big data, data visualization is becoming an essential tool for businesses to make sense of their data and make informed decisions. As a result, the demand for data visualization designers is expected to continue to grow in the coming years. Additionally, the use of data visualization is becoming more widespread, with more people using it to communicate complex concepts in a simple and effective way.

[Education Path]
The recommended educational path for learners of this course is a Bachelor's degree in Data Visualization. This degree program typically includes courses in data analysis, data visualization, and data communication. Students will learn how to use data to create visual representations of information, as well as how to effectively communicate data-driven insights. Additionally, students will gain an understanding of the principles of design, including color theory, typography, and composition.

The development trend of this degree is to focus on the use of data visualization tools and techniques to create interactive visualizations. Students will learn how to use software such as Tableau, Power BI, and D3.js to create interactive visualizations that can be used to explore and analyze data. Additionally, students will learn how to use data storytelling techniques to effectively communicate data-driven insights.

Course Syllabus

The Subject of Your Visualization

Looking for Data

Harvesting the Data

The ‘Data’ for Your Visualization

Course Provider

Provider Domestika's Stats at AZClass

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Q1: Does the course offer certificates upon completion?

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