Overview

After mastering the mission-critical skills covered in the Become a Data Visualization Specialist: Concepts learning path, discover how to get the most out of three top visualization and analytics tool sets: Tableau, open-source JavaScript libraries D3.js and dc.js, and Processing.

Master Tableau, the data visualization and analytics tool.
Explore how to work with D3.js and dc.js.
Learn Processing, a tool for creative data visualizations.

Syllabus

Courses under this program:
Course 1: Tableau Essential Training (2021)
-Learn what you need to know to analyze and display data using Tableau 2021. Discover how to leverage the software to make smarter, more data-driven decisions.

Course 2: Tableau 10 for Data Scientists (2017)
-Tableau was made for data science. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.

Course 3: Creating Interactive Tableau Dashboards
-Discover how to create interactive dashboards that are informative and compelling using Tableau, the data visualization software.

Course 4: Learning Data Visualization with D3.js
-Bring your data to life with D3.js. Create interactive, visually exciting infographics and visualizations with HTML, CSS, JavaScript, and SVG graphics.

Course 5: D3.js Essential Training for Data Scientists
-Build interactive data visualizations. Learn to create tree diagrams, stack charts, spatial maps, and more all with a web browser, a few lines of code, and the D3.js library.

Course 6: DC.js for Data Science Essential Training
-Learn how to use DC.js in coordination with Crossfilter and D3.js to create interactive dashboards and widgets that display bar charts, scatterplots, heatmaps, and more.

Course 7: Creating Interactive Presentations with Shiny and R
-Make the results of big data analysis more compelling and clear. Learn how to create interactive presentations and dashboards with RStudio and Shiny.

Course 8: Processing: Interactive Data Visualization
-Discover how to create compelling data visualizations using Processing, an open-source drawing and development environment.

Courses

1 review
4-5 hours
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Build interactive data visualizations. Learn to create tree diagrams, stack charts, spatial maps, and more all with a web browser, a few lines of code, and the D3.js library.
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5 hours
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Learn how to use DC.js in coordination with Crossfilter and D3.js to create interactive dashboards and widgets that display bar charts, scatterplots, heatmaps, and more.
0 reviews
2-3 hours
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Bring your data to life with D3.js. Create interactive, visually exciting infographics and visualizations with HTML, CSS, JavaScript, and SVG graphics.
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8 hours
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Discover how to create compelling data visualizations using Processing, an open-source drawing and development environment.
0 reviews
3-4 hours
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Discover how to create interactive dashboards that are informative and compelling using Tableau, the data visualization software.
0 reviews
1-2 hours
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Make the results of big data analysis more compelling and clear. Learn how to create interactive presentations and dashboards with RStudio and Shiny.
0 reviews
2-3 hours
View details

Tableau was made for data science. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.
0 reviews
4-5 hours
View details

Learn what you need to know to analyze and display data using Tableau 2021. Discover how to leverage the software to make smarter, more data-driven decisions.