There are a wide range of tools available to refine your data and to create, edit, alter, and display your visualizations. These include: R, Python, HTML, plot.ly, JavaScript, Qlikview, Google’s Visualization API, Tableau, Domo, Adobe Illustrator, Excel, PowerPoint, KeyNote, and
There are many books, guides, and tutorials to help you learn data visualization. In this post, I’m sharing a select bibliography of the 16 key readings that I use in my practice and teaching. The readings are diverse; data visualization
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The third reason why we use data visualizations is to show data in our presentations. Recently, I wrote a guest post for Tableau on best ways to deliver presentations with data. I emphasized the role of storytelling and noted the
Student video assignments can save class-time for discussion and add a rich learning dynamic to presentations. In many project-based courses, one or two class sessions are reserved for students to deliver presentations on their projects. These presentations take place live
I was recently asked to serve on a panel to discuss questions related to increasing analytics engagement for the Digital Analytics Association. In preparation, I put together some questions and responses that I thought would be helpful for folks working
Earlier this spring, I participated in an author series panel at Teachers College, Columbia University to discuss online teaching and learning in higher education. The panel was moderated by Steven Goss who is the Vice Provost of Digital Learning and
Sometimes imaging software by default enables us to create beautiful visualizations. However, designing visualizations that are readable and provide key insights is much more difficult.
The flipped classroom model of teaching has exploded! As professors take on this new mode of teaching, learn more about what it is, and how to make it work for you.
For Understanding To transform the data into usable knowledge that we can act upon, we need to analyze it using appropriate models, statistics, and data mining techniques. Once we make sense of the data or our findings, we need to communicate