Infographics and Data Visualization Design (Online)

  • Get in Touch | Request Information | Enroll Now

    Certificate Details

    • Course requirements: 5 online courses.
    • Timeline to completion: Courses last six to nine weeks. Most students take two courses per semester. The certificate must be completed in two years. We recommend that courses be taken in the order listed below.

    This online certificate program gives professionals the fundamentals they need to succeed in big data– and metrics-driven environments. Hands-on courses cover strategic information design, data analytics and filtering, visualization best practices, and programming basics. Industry expert guests expand students’ understanding of data storytelling applications and techniques for bringing complex statistics to life for a variety of audiences and uses.

    Certificate Course Sequence

    1) Data Visualization 101

    This course covers all the bases in the discipline of data visualization and prepares students to complete advanced-level courses in the Infographics and Data Visualization Certificate program. It serves as a foundation for information design, data analytics, and interactive visualization practices. Through diverse hands-on projects and biweekly guest lectures from industry experts, students gain a thorough understanding of this exciting field. This is course 1 of 5. Students are advised to take it first. 

    2) Designing Information Graphics

    More than 50 percent of our brain’s cortex is devoted to processing visual information. With growing amounts of data being thrown our way on a daily and hourly basis, it is more important than ever to be able to deliver information efficiently. Information graphics is one of the most powerful means available to relay complex data to the widest audiences. Some form of information graphics touches the life of almost everyone on the planet, regardless of profession, industry, or culture. This course empowers students to thoughtfully and successfully bring to life flat numbers and data through engaging and digestible visual representations that can be easily shared with vast audiences. It addresses best practices from discovery to production to delivery. The course covers color theory, typography, design hierarchy, balance, symmetry, composition, and grid. In addition, students learn data research, filtering data while 1) generating an idea, 2) conceptualizing and developing the idea, and 3) presenting and delivering a prototype. This is course 2 of 5. Students are advised to take it after course 1 and before course 3. 

    3) Information Design for Visual Storytelling 

    The field of data visualization combines three disciplines: graphic design, statistics, and computer science. In order for a visualization to be dynamic, aesthetically pleasing, and informative, it must involve successful application of all three practices. This course focuses on developing students’ information graphics skills to enable them to create visual stories. It includes critical thinking projects that relate to real-life information design needs, both for creating stand-alone infographics and for producing graphics for effective visual storytelling. This is course 3 of 5. Students are advised to take it after course 2 and before course 4.

    4) Data and Analytics for Visualization and Business Intelligence

    Most of the world’s data has been generated within the past few years. In order for any of that data to serve a purpose, it must be analyzed and ultimately visualized. The process of unlocking insights and potential within a data set requires strong analytical skills and in-depth understanding, both of which are a necessity in any modern work environment. In order to produce successful visualizations, you must first be able to successfully analyze the data you plan to represent. This course enables students to develop the necessary data analytics skills, specifically through the lens of visualization and with the ultimate goal of creating visual representations of that information. It covers basic SQL skills and other data analysis tools widely used in the industry. This is course 4 of 5. Students are advised to take it after course 3 and before course 5. 

    5) Data Visualization Portfolio Development 

    This course, which concludes the Infographics and Data Visualization Certificate program, focuses on preparing students with a digital portfolio of data visualization projects that showcases their ability to perform in the contemporary data viz workplace. Students hear guest lectures from working professionals in the field of data visualization. They build an online portfolio site and develop their portfolio from past projects created in other classes within the certificate program or independently. Ongoing critiques and portfolio reviews by both internal and external audiences ensure that each student has a polished portfolio by the end of the course. Students must have a body of work in order to take this course. This is the final course of the certificate. Students are advised to take it after completing courses 1-4.