BI&A BOOTCAMPS
SAS and R
January 17 through 26, 2014
Babbio Center
PROGRAM
Overview and Timetable
Date
Day
Time
Topic
Instructor
17-Jan
Friday
9am-Noon
Install SAS & R
Dragos Bozdog
17-Jan
Friday
1pm-5pm
Job Skills
Bob Lazer
17-Jan
Friday
5pm-7pm
Meet the faculty
BI&A Facuty
18-Jan
Saturday
9am-5pm
Intro to SAS
Dr. Khasha Dehnad
19-Jan
Sunday
9am-3pm
Intro to R
Dr. Ionut Florescu
24-Jan
Friday
9am-Noon
Tutoring session
24-Jan
Friday
1pm-5pm
Oral Skills
Andrew Stein
24-Jan
Friday
5pm-7pm
Industry Speaker
Ram Padmanabhan
25-Jan
Saturday
9am-5pm
Advanced SAS
Dr. Khasha Dehnad
26-Jan
Sunday
9am-3pm
Advanced R
Dr. Ionut Floresco
Faculty & students
Job Skills Workshop
Friday, January 17, 2014 from 1 pm to 5:30 pm
Room 220, Babbio Center
Objective
Develop skills that will help you obtain a job and succeed in the workplace.
Agenda
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Skills & Assessment
Creating your Personal Brand
Developing a Personal Marketing Plan
Resume Preparation
Job Search Strategies
Networking & How to Do It
Conducting the Job Search
Interviewing Skills & Strategies
Negotiating the Job Offer
Instructor
Professor Lazer, Ph.D., is the Director, Organizational Learning and Development for Pace
University and has 35 years of diversified and global HR experience.
He has led and managed strategic human resources activities in a variety of industries,
including not for profits, healthcare, consumer products, transportation, chemicals and
pharmaceuticals, and professional services. He also consults on, publishes, and presents on a
number of human resource topics, including leadership coaching, organization culture,
performance management, succession planning, and job search strategies.
Dr. Lazer is also an adjunct professor at Stevens Institute of Technology and Pace University
where he teaches on campus and web-based graduate and undergraduate courses in
organizational behavior and human resources.
Dr. Lazer received his BA in psychology from the University of South Florida, and his MA
and Ph.D. in Industrial Psychology from Case Western Reserve University.
Communications Skills Workshop
Friday, January 24, 2014 from 12:30 pm to 5:30 pm
Room 220, Babbio Center
Objective
Develop the written and oral communications skills that are essential for success throughout your
career.
Agenda
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Written Communication Skills
o Logical Flow
o Grammar & Sentence Structure
o Spelling & Word Choice
o Development of Ideas
Oral Communications skills
o Organization & Logic
o Voice & Body Language
o Ability to Answer Questions
Developing PowerPoint Presentations
Instructor
Andrew Stein holds an M.F.A. in Screenwriting from Columbia University and a B.S. in
Mechanical Engineering from Princeton University.
Since 2003 he has taught Technical Writing and Professional Presentations at Stevens as part of
the Professional Communications Certificate Program. Additionally, he has also taught online
through Stevens WebCampus, and taught workforce development classes at area businesses
(including Fujitsu, ImClone, GlaxoSmithKline) as part of a Howe School grant from the NJ
Department of Labor. He has extensive experience assisting scientific and professional writers in
preparing a wide variety of technical reports, proposals and presentations.
Since 2007 he has taught Professional Communications and Masters Thesis Prep classes at SITI
(Stevens Institute of Technology International) in the Dominican Republic. Prior to teaching at
Stevens, he taught English Composition at the University of Akron and Screenwriting at Writers
Boot Camp in New York City.
Currently, he serves as Coordinator of Graduate Writing and Communications as well as Chief
of Operations for the College of Arts & Letters at Stevens. He lives in Hoboken, NJ.
Introduction to SAS
Saturday, January 18 and January 25
Hanlon Financial Systems Lab, 4th Floor Babbio Center
Objectives
 Understand the background and objectives of SAS
 Perform basic statistical analyses in SAS
Agenda
Saturday, January 18, 9am to 4 pm
Introduction to SAS – Basic concepts
Data manipulation techniques
Descriptive Statistics and introduction to procedures (macros)
One and two-variable analysis. Regression
Saturday, January 25, 9am to 4 pm
ANOVA, Logistic regression, Factor Analysis
Advanced statistical techniques
Developing a self-learning program of study to master SAS (and Q&A).
Instructor
Khasha Dehnad is the founder of AIMS Consulting. Focused on applying data mining and
marketing analytics in complex business environments, he provides consulting services, and best
of class solutions, to clients in both Fortune 500 and smaller organizations, these have included,
AT&T, Citi Group, Market Measures GFK, NECA, Medco Health Solutions, SAS Institute, and
various pharmaceutical companies. Dehnad has over 20 years of experience applying principles
and practices of information systems, operations research, and data mining across a broad
spectrum of business issues in the life sciences and financial services industries. In addition to
founding AIMS Consulting, Dehnad has held positions at the Depository Trust & Clearing
Corporation, Organon Pharmaceuticals, and Wolters Kluwer, and has been an adjunct professor
at Stevens Institute, Columbia University, and New Jersey Institute of Technology.
Dehnad has been a keynote speaker and presenter at various industry conferences e.g., SAS
European User Group (SEUGI), SAS Global Forum, and IBM Analytics. His software expertise
spans a rich variety of SAS packages e.g., Access, AF, Base, Connect, Enterprise Miner, EIS,
FSP, Graph, Internet, MDDB, OR, STAT. Dehnad holds an MS in Operations Research from
the University of California at Berkeley, an MBA from the University of San Francisco, and a
BS in Chemical Engineering from Tehran University.
Introduction to R
Sunday, January 19 and January 26, 9:00 am – 3:00 pm
Hanlon Financial Systems Lab, 4th Floor Babbio Center
Objectives
 Understand the background and objectives of R
 Install R on a laptop
 Perform basic statistical analyses in R
 Develop a self-learning program of study to master R
Agenda
Sunday, January 19
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Introduction to R
Importing and Entering Data
Data structures in R. Descriptive Statistics and data visualization
Inferential Statistics (basics of testing and confidence intervals)
Basic Regression
Sunday, January 26
 Creating Functions (Monte Carlo simulations in R)
 ANOVA, Logistic regression, Factor Analysis
 Advanced statistical techniques
 Developing a self-learning program of study to master R
Instructor
Dr. Ionut Florescu is the Director of the Hanlon Financial Systems Lab since September 2012
and has been with Stevens since the Fall of 2005. His Ph.D. is in Statistics from Purdue
University and his research is concentrated in Stochastic Processes and their applications. He has
published articles in Mathematical Finance, Ecosystem dynamics, Computer Vision, Geophysics,
Cryptography, Sensor detection and other areas. He is very interested in interdisciplinary
activities, in particular in applying sound fundamental probability and statistics principles to
other areas of science and engineering.
Dinner Speaker
Friday, January 24, 5:00 am – 7:00 pm
Babbio Center, Room 220
“Optimizing Media Dollars through Analytics”
Siram Padmanabhan, Partner, Business Science Director at MediaCom
Introduction to MediaCom Business Science: Using analytics, we enable media planning teams
to make data-driven decisions that optimize results for clients. MediaCom Business Science
helps optimize media mainly using marketing mix modeling. There are other types of analytics
we deploy, depending on the question: ANCOVA test/control analysis, pricing, data mining of
syndicated data or primary research data. Focus of this talk would be to share some example
outputs of marketing mix modeling across multiple clients.
Before we get there, it would pertinent to ask: What is a model? And why do clients value
models? Specifically, what types of questions do we answer based on models that enable them to
make sound business decisions? Here are some key ones:
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What are growth opportunities for your brand?
How well is your investment paying back?
What are some tactical changes that would improve marketing effectiveness?
Is the media mix and delivery optimal? If not, how to optimize it?
Speaker
Sriram “Ram” Padmanabhan has over 13 years of experience in market research and
analytics. He has hands-on experience running marketing mix models, test & control studies,
and market structure projects for Fortune 100 pharmaceutical, CPG and Retail clients. His
market research experience spans concept/product testing, pricing, incentive development,
advertising effectiveness evaluation and brand health tracking. He is currently Partner, Business
Science Director at MediaCom, a global media planning and buying agency. In this role, he
works with planning teams to enable the optimal allocation of media investment for the agency’s
clients. Prior to MediaCom, Ram was in Insights & Marketing Intelligence at Avon Products,
Inc. where he led research and analytics for a variety of product categories for the company’s
North America market. Ram holds an MBA from the NYU Stern School of Business, where he
was a Teaching Fellow for core courses in Economics, Operations and Business Strategy. He
also holds a master’s degree in Marketing Communications from Mudra Institute of
Communications, Ahmedabad in India, and a bachelor’s degree in Engineering from Birla
Institute of Technology & Science, Pilani, India.