The document outlines an online course titled 'Statistical Foundations for Data Visualization' taught by Dr. Andres Fortino at NYU's School of Professional Studies, running from February 13 to April 9, 2017. This course focuses on the essential statistical foundations needed for effective data visualization, offers non-credit graduate-level content, and requires participation in class forums. It targets business professionals, Excel users, and students looking to enhance their data analysis skills, featuring asynchronous learning and small class sizes.

1. Statistical
Foundations for
Data Visualization
An Online Course
by
Dr. Andres Fortino

2. Spring 2017 Course Details
• Who:
– Dr. Andres Fortino, principal faculty
• Where:
– NYU School of Professional Studies
– Center for Advanced Digital Applications
• When:
– Five weeks, Feb 13 – April 9, 2017
• What:
– Online self-paced, weekly modules (MOOC-style)
– Non-credit graduate-level seminar, graded, 3 CEUs
• Sign up:
– https://www.sps.nyu.edu/professional-pathways/courses/DATA1-
CE9002-the-art-of-data-visualization.html
– Cost: $725

3. Course Description
• Data visualization has been recognized as a core
competency of statisticians since the time of John Tukey in
the 1970s.
• This course covers the essentials of the statistical
foundations of visualizing data. Learn the systems involved
in processing and transforming data with the goal of
creating useful information for decision-making,
interpretation, and visualization.
• Using statistical tools, gain an understanding of how to
interpret data quantitatively and to explore data-oriented
structures.
• The primary focus is on descriptive statistics used to
present and summarize numerical information.

4. Course Learning Outcomes
• The ability to identify appropriate data sources and
to generate numerical summaries of data
• The skills to create key statistical graphics and the
principles of sound statistical graphics design
• The ability to explore data sets for unusual data and
to identify trends and associations in data

5. Key Audience
• Business professionals who want to turn data into
information
• Excel users who want to take their reporting and
analysis to the next level
• Students who want to learn powerful methods of
data analysis

7. Class Format - Online
• The instruction for the course is conducted online
asynchronously.
• That means there are not set “class meetings”. The material
for the class is posted on line as modules to be done weekly,
with short video presentations (10-20 min) by the instructor
and assignments to be completed each week.
• Since in this class students learn by giving and receiving
criticism class participate in the class forums each week is
required. Students are required to post at least one criticism
of two of their colleagues assignments to receive credit for
the class.
• Faculty is constantly available to give feedback and guidance
• All classwork as well as assignment submissions are done
through the NYU Classes Learning Management System.
• Studio format with small classes

8. Dr. Andres Fortino Bio
• Dr. Andres Fortino is a consultant in the innovation industry and is currently the
principal with Fortino Global Education.
• He teaches big data analytics and Innovation and Entrepreneurship at NYU School
of Professional Studies. He leads seminars in data visualization and business
analytics at the American Management Association.
• He served as Dean of Academic Affairs at DeVry College of New York and as
Associate Provost for Corporate Graduate Programs at the Polytechnic Institute of
New York University. He holds bachelors and masters degrees in electrical
engineering from City College of New York and a PhD in electrical engineering from
CUNY. Before joining NYU-Poly he served as Dean of the Marist College School of
Management.
• He is a Senior Member of IEEE and a Distinguished Speaker in Computer Science
with the IEEE. He is a Fulbright Specialist in Technology Management. His major
interests are innovation, creativity and data analytics and data visualization as well
as technology innovation management.

9. Student Comments from Statistical
Foundations Class Fall 2016
• The videos and provided solutions to homework was incredibly helpful to work out
your own errors and steps.
• Quizzes should be longer with more questions
• For an online class it is difficult for an instructor to have personality and not come
off robotic especially in communication to students. Professor Fortino, however,
had a very good communication style for this type of class. His passionate and
positive attitude was reflective in his emails and messages. This helps to bridge the
gap between an online class and an in-person class and certainly improves the
overall quality of the course.

10. Fall 2016
Course Evaluations

11. For more information
please contact:
Dr. Andres Fortino
Fortino Global Education
agfortino@gmail.com
845.242.7614