LinkedIn Learning
Free Trial Available
English
Certificate Available
31 hours worth of material
selfpaced
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
- Course 1: Tableau Essential Training
- 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.
Taught by
Curtis Frye, Matt Francis, Matt Francis, Ray Villalobos, Emma Saunders, Emma Saunders, Charlie Joey Hadley and Barton Poulson