Become a Data Visualization Specialist: Tools

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Free Online Course: Become a Data Visualization Specialist: Tools provided by LinkedIn Learning is a comprehensive online course, which lasts for 31 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Become a Data Visualization Specialist: Tools is taught by Curtis Frye, Matt Francis, Matt Francis, Ray Villalobos, Emma Saunders, Emma Saunders, Charlie Joey Hadley and Barton Poulson.

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.