Data: Data Visualization

Tableau Public

Free data visualization software. Requires creating a Tableau Public profile to save, store, and share your visualizations. The site also includes a blog, educational resources, an extensive gallery of visualizations, and a regular Iron Viz competition. (Note: Different from the free trial version of the subscription-based Tableau products.) 

Excel: Introduction to Charts and Graphs (LinkedIn Learning)

Learn the basics of Excel charts and graphs, including identifying the different elements of a chart, choosing the right chart type, the steps in creating a column, bar, or line chart, as well as formatting charts with styles, colors, and more. 

Length: 1 hour. (Free access with Bucknell login.)

 

Excel 2016: Charts in Depth (LinkedIn Learning)

Learn how to create different kinds of Excel charts and decide which type works best for your data; how to fine-tune your chart's color and style; add titles, labels, and legends; insert shapes, pictures, and text boxes; and pull data from multiple sources. Plus an overview of the new chart types in Excel 2016: Treemap, Sunburst, Waterfall, Histogram, Pareto, and Box & Whisker. The course wraps up with lesson on changing data sources for charts and printing and sharing charts. 

Length: 4 hours, 46 minutes. (Free access with Bucknell login.)

 

Tableau 10 Essential Training (LinkedIn Learning)

Learn how to analyze and display data using Tableau Desktop, including how to install Tableau, connect to data sources, summarize data, and create, manipulate, and share data visualizations, including highlight tables, charts, scatter plots, histograms, maps, dashboards, and more. 

Length: 4 hours, 40 minutes. (Free access with Bucknell login.)

 

Creative Interactive Dashboards in Tableau 10 (LinkedIn Learning)

Dashboards act like dynamic reports that can be used for in-depth data analysis or to present information to clients. The course covers how to create such dashboards in Tableau 10, including how to build and format the worksheets that will feed your dashboard, design the dashboard itself, integrate analytics, and add interactive parameters that allow users to customize the display. You will also learn how to use some basic principles of visual design to make your dashboards easier to use and more visually appealing.

Length: 2 hours, 20 minutes. (Free access with Bucknell login.)

 

Data Visualization in R with ggplot2 (LinkedIn Learning)

Learn how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R, as well as how to apply key concepts such as the grammar of graphics and different geometries to visualize data. 

Length: 2 hours, 20 minutes. (Free access with Bucknell login.)

 

Data Visualization: Best Practices (LinkedIn Learning)

Learn how to create accurate and compelling data visualizations, with a focus on best practices rather than specific tools. 

Length: 1 hour, 15 minutes. (Free access with Bucknell login.)

 

Learning Data Visualization (LinkedIn Learning)

Learn how to understand your data and your audience, craft the story you need to tell, and determine the best visual model and details to use for that story. Topics include: determining the information hierarchy; sketching and wireframing your idea; defining your narrative; using typography, color, contrast, and shape to convey meaning; and making your visualization interactive.

Length: 4 hours. (Free access with Bucknell login.)

 

Data Visualization Tips and Tricks (LinkedIn Learning)

A software-agnostic course designed for experienced data scientists and analytics specialists. Learn how to choose the right visualization for your data, and answer the 5 key questions you should ask yourself at the beginning of every project. Topics include understanding the relationships between data sets, making comparisons, charting relationships, visualizing data distributions, creating maps, and knowing when to use which types of graphs and charts, as well as how to understand what others are doing with their own visualizations, ask informed questions, and look with a critical eye at the work of others. 

Length: 2 hours, 14 minutes. (Free access with Bucknell login.)