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Credential Information

The Data Analytics & Visualization credential equips learners with the foundational knowledge and practical skills needed to effectively analyze, interpret, and communicate data through impactful visualizations. This credential combines data analytics, statistical methods, and design principles, preparing you to transform complex data into clear, compelling visual stories across various industries.

Through four carefully curated courses, students will explore the theory and history of data visualization, develop proficiency in data analysis and statistical methods, and be exposed to use industry-standard tools and software like Excel, Tableau, R, and Adobe Illustrator. The program emphasizes the creation of ethical, accessible, and inclusive visualizations that not only communicate information clearly but also resonate with diverse audiences.

Accelerated Online Format

Complete the four course program in just 8 months from the comfort of your home and without having to leave your full-time job.

Option to Continue Your Education

Decide to complete a full Master of Professional Studies in Data Analytics and Visualization? Your courses and credits will apply to your future degree.

100% Online & Flexible

Earn your degree 100% online and study when it works for you. No set class times—just the flexibility to fit learning into your busy schedule.

Visual Storytelling as a Business Driver

Employers seek professionals adept at transforming data into visually compelling presentations that enhance understanding and engagement. Get ready to make complex data easy to understand and act on.

Real-World Industry Practitioners as Faculty

Learn from passionate leaders who have built successful careers in data visualization across industries. Benefit from invaluable experience-based teaching models and mentorship, fostering essential skills for your career development.

Course Sequence

In almost every industry or sector, data is the foundation of sound decisions. But one must know how to analyze and communicate the data to utilize it. These courses teach the skills, best practices, and software tools needed to analyze and communicate data effectively. They show how to influence actions, strategies, and solutions through data storytelling.

The Data Analytics & Visualization credential consists of four comprehensive courses:

Session
Course
Credits
Orientation
Virtual Orientation
To ensure your success in the program, students will meet virtually for a 1-day orientation where they will meet administrative staff, learn more about student services and success initiatives, and engage in community building with their cohort. In addition, students will complete an asynchronous orientation course in Canvas as a means to introduce them to the navigation of MICA’s administrative tools as well as inform them of academic services available through MICA. The content and assignments in the orientation course are designed to be an introduction to the program as well as a resource throughout the students’ time at MICA.
0
Session 1
Foundations of Data Analytics & Visualization Literacy

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present

We live in a world surrounded by ever-increasing amounts of information in the form of data. Converting this raw data into a visual form that communicates effectively involves data analytics and advanced information visualization literacy. You will study the way visualization has been used historically and is being used today in various industries to tell compelling narratives. You will explore perspectives and research from the fields of art/design history, theory, and visual culture.
3
Session 1
Understanding Data

Core Skills: Excel, Tableau, R, Descriptive statistics, Data cleaning, Data visualization in R

Core Skills: 

This course will teach you the methods for gathering, organizing, preparing, and analyzing information and data central to visualization and telling your story. Giving you the means to communicate your big ideas, you will explore tools and software applications that establish descriptive statistical relationships. You will also develop foundational skills needed to transform research into compelling visualizations.
4
Session 2
Data Exploration

Core Skills: R (RStudio, R Markdown), Descriptive statistics (continued)

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present
The course provides an overview of probability and statistics concepts commonly used in the visualization process. You will learn to apply concepts such as statistical measures, correlation, and regression to data sets. You will continue to use and gain proficiency in tools and softwares introduced in Statistics and Analysis and explore additional methods for data analysis that apply to real-world challenges.
4
Session 2
Designing Visual Information

Core Skills: Adobe Illustrator, Gestalt laws & Universal principles of design

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present
This course teaches you how to create impactful information visualizations that will produce results. You will be introduced to the best practices in organizing space, using type and color based on well-established guidance. Using universal principles of design, perception, and cognition, you will also learn the importance of ethical issues in data visualization, accessibility, and how to practice inclusive design.
3
Total Credit Hours
14
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