Course Catalog Description
Tools Used In This Course
- Visualization Ecosystem
- Additional Resources
- A more concise, but somewhat different perspective
* Develop knowledge of tools for visualizing datasets with emphasis on financial datasets.
- Develop a programmatic understanding of translating data into useful visual forms
- Develop a critical vocabulary to engage and discuss information visualization
- Develop an understanding of data visualization theory.
- Understanding of ethical considerations for data visualization
* Miller, James D. Big Data Visualization, Packt Publishing, 2017. ISBN: 978-1785281945
- Milligan, Joshua N. Learning Tableau 10, 2nd edition. Packt Publishing, 2016. ISBN: 978-1-78646-635-8
- Tufte, Edward. The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press, 2001. Print. ISBN: 978-0961392147
- Gohil, Atmajitsinh. R Data Visualization Cookbook. Packt Publishing, 2015. Print. ISBN: 978-1-78398-950-8
There are many solid texts available through Safari Books Online including, but certainly not limited to:
- Interactive Data Visualization for the Web, by Scott Murray; ISBN: 978-1-4493-3973-9
- Data Visualization with d3.js, by Swizec Teller; ISBN: 978-1-78216-000-7
- Data Visualization: A Successful Design Process, by Andy Kirk; ISBN: 978-1-84969-346-2
- The Functional Art, by Albert Cairo; ISBN: 978-0-13-304118-7
It is likely more valuable in this course to be concerned with current trends in data visualization. Some good resources include:
- Joshua Milligan’s site, Viz Painter
- Nathan Yau’s Flowing Data
- Michael Sandberg’s Data Visualization Blog
- Towards Data Science
- Various Twitter feeds, including Jeffrey Heer, Mike Bostock, Ola Rosling, Steve Duenes, Stephen Few, David McCandless, Hannah Fairfield, Ben Fry, Kim Rees and many others...
- Podcasts: Data Viz Today, datastori.es
- LinkedIn Groups: Visual Analytics , Data Mining, Statistics, Big Data, and Data Visualization
- Other Resources: bl.ocks.org, Stack Overflow, Google Groups, Visual.ly, Flowing Data, ilovecharts, Visualizing.org ,Information is Beautiful, 538, Visualizing Data, Visual Complexity, Pictures of Numbers
- Download the latest version of Tableau Desktop here:
- Click on the link above and select Get Started. On the form, enter your school email address for Business E-mail and enter the name of your school for Organization.
- Activate with your product key: TC78-BBBA-90C0-C3B8-92DB
- Already have a copy of Tableau Desktop installed? Update your license in the application: Help menu -> Manage Product Keys
Are your students new to Tableau? Share our free Data Analytics for University Students guide to help them get started. Students can continue using Tableau after the class is over by individually requesting their own one-year license through the Tableau for Students program here Need help? Find answers to frequently asked questions here.
TABLEAU COURSE MATERIALS:
All Tableau course materials are available in the shared Files directory for this course.
Through the Hanlon Financial Systems Lab, each student enrolled in this course has free access to various historical data sets. See the HFSL Wiki: http://web.stevens.edu/hfslwiki/index.php?title=Main_Page for more details.
Other data sets may be found from various locations across the web, though you may find that the data will need to be “cleaned” before usage in visualization projects and assignments. These sources include, but are not limited to:
Course grades are calculated precisely based on the following components: 1) Online Discussion: 20% 2) Team Data Product Submission: 30% (5% for proposal, 10% for update, 15% for final submission) 3) Assignments: 25% (5-5-5-10% for assignment 1-2-3-4) 4) Individual Final Project (broken down by submission component): 25% (5% proposal, 5% for update, 15% for final submission)
Participation grade will be assigned based on active participation in weekly discussions and completion of assigned peer reviews based on readings, exercises, and additional contributions. You will serve yourself well by completing course readings and/or finding alternative readings and relevant contributions to share with class. You will be graded each week on your participation under the following criteria:
- Ability to generate questions for class: This should be at least two or three questions based on recommended readings and/or other materials you find. These questions should be relevant to the topics covered each week.
- Sharing materials online
- Online discussion: You are required to engage in discourse online through the Canvas portal
Final grades will be determined on a 0-100 scale. Your final course grade will be determined as follows: 94-100=A; 90-93.999=A-; 87-89.999=B+; 84-86.999=B; 80-83.999=B-; 77-79.999=C+; 74-76.999=C; 70-73.999=C-; 60-69.999=D; below this is an F. Once issued, all grades are final and will not be changed. Borderline grades will be reviewed on a case-by-case basis. If you have questions about how grades are assigned in this course, please bring them up at the beginning of the semester or soon thereafter. No questions concerning grading policy will be considered once grades have been submitted.