Data Visualization Training and Tutorials (LinkedIn Learning – Lynda)

A range of Data Visualization training courses and tutorials are available through LinkedIn Learning, which can assist students in staying current. These courses, which teach the ideal combination of skills to combine the power of data and visuals, have been developed by experts and industry professionals with years of experience. These assist students in building a strong basis for how to approach the interpretation and delivery of data and data insights visually. These resources are divided into groups based on prerequisites and the degree of difficulty. Beginners can enroll in introductory courses before moving on to more advanced and advanced courses. All of these are available for free as part of the signup's 30-day free trial.

Some popular choices of data visualization courses on LinkedIn Learning include:

• Tableau Essential TrainingBy: Curt FryeDuration: 4h 30mIn this course you will learn to analyze and display data using Tableau Desktop 2019—and make better, more data-driven decisions for your company. Also learn how to create and manipulate data visualizations—including highlight tables, charts, scatter plots, histograms, maps, and dashboards—and how to share your visualizations.

• Data Dashboards in Power BIBy: Helen WallDuration: 4h 52mThis course focuses on the front end of the Power BI application—the dashboard—where users interact with charts and graphs that communicate trends in their data. It teaches how to work with data from open-source websites, create visuals such as heatmaps and sparklines, compare multiple variables with trendlines and violin plots, and build engaging maps.

• Creating Interactive Tableau DashboardsBy: Matt FrancisDuration: 3h 28mIn this course you will learn how to create compelling, informative, and eye-catching dashboards using Tableau.

• Data Visualization: StorytellingBy: Bill ShanderDuration: 1h 37mThis course teaches how to think about, and craft, stories from data by examining many compelling stories in detail.

Key Highlights:

• Master data visualization tools and techniques
• Learn how to communicate the story that data findings represent
• Discover how to select the right graphic for the right context
• Courses created and led by industry experts

Duration: Self-Paced
Rating: 4.5
Link: https://www.linkedin.com/learning/topics/data-visualization