Invitation to an NYU online seminar for Spring 2017 - Gain an overview of the collection, analysis, and visualization of complex data, as well as the relevant pivotal concepts.

1. Data Mining,
Predictive Analytics
and Big Data
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:
– Eight weeks, March 9 – April 27, 2017
• What:
– Online Synchronous Thu 6:30 - 9:30 pm
– Non-credit graduate-level seminar, graded, 2 CEUs
• Sign up:
– https://www.sps.nyu.edu/professional-pathways/courses/DATA1-
CE9009-data-mining-predictive-analytics-and-big-data.html
– Cost: $725

3. Course Description
• The collection, analysis, and visualization of complex data
play critical roles in research, business, and government.
• Powerful tools from applied statistics, mathematics, and
computational science can be used to uncover the meaning
behind complex data sets.
• Gain an overview of the relevant pivotal concepts and
explore in depth specific areas of statistics and analytic
techniques that allow you to provide data summarization
(e.g., through visualization), to identify important patterns
and trends, and to apply practical skills and a theoretical
basis for approaching challenging data analysis problems.
• Big data and analytics are crucial to data visualization, as
big-data insights and predictions are more easily
understood when presented in visual form.

4. Course Objectives
You'll Walk Away with
• The ability to articulate the value of predictive
analytics and to select the appropriate analytic
approach given a situation
• The ability to collect the data necessary for
predictive analytic techniques

5. Key Audience
• Those who want to improve their data preparation
and presentation skills
• Those who want to improve their data mining and
statistical modeling skills

6. Course Learning Outcomes
• Understand how the collection, analysis, and visualization of
complex data play critical roles in research, business, and
government.
– What powerful tools from applied statistics, mathematics, and
computational science can be used to uncover the meaning behind
complex data sets.
• Will be able to gain an overview of
– Relevant pivotal concepts and explore in depth specific areas of
statistics and analytic techniques
– How they provide data summarization (e.g., through visualization),
• Identify important patterns and trends
• Apply practical skills and a theoretical basis for approaching
challenging data analysis problems.
• Understand big data and analytics technologies, techniques and
applications

8. Class Format - Online
• The instruction for the course is conducted online
synchronously.
• Instructor will hold synchronous (that means you attend
online) sessions at the appointed class time. There is no
physical classroom for class meetings.
• Students will need an appropriate computer to receive
webcasts, and at least a microphone to be able to
communicate with the instructor and the class during the
online sessions.
• A webcam IS NOT NEEDED. Invitations and instructions
on how to participate in each class webcast will be
available as the class progresses.
• Recordings of the session will be available after the
session in case a student wishes to review or catch up

9. 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.

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