1. Our faculty
Anthony Babinec
Ben Baumer
Meena Badade
Benjamin Bengfort
Patricia Berglund
Anurag Bhardwaj
William Bolstad
Michael Borenstein
Peter Bruce
Chris Brunsdon
Din Chen
Peter Congdon
Kuber Deokar
Paul Eilers
John Elder, IV
Michelle Everson
William Fisher, Jr.
Tal Galili
Jennifer Golbeck
Huybert Groenendaal
James Hardin
Robert Hayden
Jay Herson
Joseph Hilbe
Abhaya Indrayan
Nitin Indurkhya
Ajit Jaokor
Daniel Kaplan
Sarah Kelly
Jenny Kim
David Kleinbaum
Robert LaBudde
Olivia Lau
Casey Lichtendahl
Bryan Manly
Brian Marx
David Masad
Joris Meys
Geert Molenberghs
Robert Munro
Paul Murrell
Greg Nolder
Iain Pardoe
Karl Peace
Vidyadhar Phadke
Catherine Plaisant
Randall Pruim
Sudha Purohit
Cliff Ragsdale
Nand Kishone Rawat
Hannah Rothstein
Eli Rosenberg
Jim Rutledge
Thomas Ryan
Karen Schmidt
Randall Schumacker
Shilad Sen
Galit Shmueli
Everett V. Smith, Jr
Peter Sprent
Ken Strasma
David Unwin
Marck Vaisman
John Verzani
Brady West
Matthew Windham
Data Science courses*
Data Mining and Prediction
• Anomaly Detection
• Applied Predictive Analytics
• Data Mining – R
• Mining Social Data
• Persuasion Analytics
• Predictive Analytics 1/2/3
• Deep Learning
Data Analytics
• Choice Modeling
• Cluster Analysis
• Forecasting Analytics
• Logistic Regression
• Social Networks
• Visualization
Text Analytics
• Natural Language
Processing (NLP)
• NLP using NLTK
• Sentiment Analysis
• Text Mining
Using R
• Data Mining in R
• R Graphics
• R Modeling
• R Programming
(4 courses intro thru adv.)
• R Statistics
• R ggplot2
IT/Programming
• Hadoop
• Python
• SAS Programming
• SQL
• Internet of Thing (IoT)
Spatial Analytics
• Mapping in R
• Spatial Analysis in R
• Spatial Statistics – GIS
Operations Research
and Risk
• Financial Risk
• Optimization – Intro
• Optimization – Advanced
• Risk Simulation and Queuing
Looking to accelerate your career
or help upgrade the skills of your
team members?
• Learn from top experts (our
instructors have authored
hundreds of books)
• Have your questions answered
directly by these experts on small
private discussion forums
• Work with instructors from top
universities, and industry experts
with experience at Google, eBay,
Samsung, CoBrain, etc.
• Work with real problems, real
data and multiple software tools
• Receive individual feedback on
your projects and exercises
• Take individual online courses
• Enroll in an online certificate
program
• Earn a BS degree in Data Science
and Analytics
• Earn graduate level credit
Smarter Analytics
online courses
• Analytics for
Data Science
• Programming for
Data Science
Online certificate programs in Data Science*Many are evaluated and
recommended for college credit
by the American Council on
Education (ACE CREDIT)

2. Specializations
• Bayesian
• Text Analysis
• R Programming
• Optimization
• Rasch/IRT
• Intelligence Security Analytics
Statistics courses
Stats for Credit
• Biostatistics for Credit
• Intro Stats for Credit
Introductory
• Statistics 1
• Statistics 2
• Statistics 3
• Survey of Stats
Review/Prep
• Calculus Review
• Designing Valid
Statistical Studies
• Matrix Algebra
• Modeling – Intro
• Resampling
Statistical Modeling
• Categorical Data Analysis
• Count Data
• Generalized Linear
Programming (GLM)
• Logistic Regression
• Longitudinal Data
• Mixed Models
• Multivariate
• R Modeling
• Regression
• Structured Equation
Modeling (SEM)
• SEM – Advanced
Methods
• Bootstrap
• Cluster Analysis
• Factor Analysis
• MLE
• Missing Data
Biostatistics
• Biostatistics 1
• Biostatistics 2
• Epidemiologic Statistics
• Meta Analysis
• Sample Size Power
• Survival Analysis
Bayesian
• Bayesian Intro
• Bayesian in R
• Bayesian Computing
• Bayesian Hierarchical
Models
• Bayesian MCMC
Clinical Trials
• Clinical Trials – Intro
• Clinical Trials – PK
Bioequivalence
• Clinical Trials – Adaptive
• Clinical Trials –
Missing Data
• Clinical Trials –
Monitoring
Engineering
• Design of Experiments
(DOE)
• Survival Analysis
Environmental
• Enviromental Sampling
• Spatial Statistics – GIS
• Spatial Analysis in R
Social Science
• Rasch – Core
• Rasch – Facets
• Rasch – Further
• Structured Equation
Modeling (SEM)
• SEM – Advanced
• Item Response Theory
(IRT)
Survey Statistics
• Survey Design
• Survey Analysis
• Survey – Complex
It helped me immediately with my
job...This class really stretched my
brain! I loved it! “
L. Painchaud, US Army
“I wished for this kind of high level
professional education online
for a long time. Statistics.com
has done it.”
W. Fairley, Analysis
Inference, Inc.
“This has been a wonderful
course, primarily due to the
instructor’s level of knowledge,
preparation, and accessibility.
I could not be more satisfied.
A really great course.”
R. Kabacoff, Management
Research Group
“The Statistics.com courses have
helped me a lot, pushing me to
the limit and making me learn
much more than I expected I could.
The knowledge I gained I could
immediately leverage in my job ...
then eventually led to landing a job
in my dream company - Amazon.”
​K. Urbonas, Senior Data
Scientist, Amazon Devices
Online certificate programs in Research Statistics
703 522 5410 t
612 N. Jackson St
Arlington, VA 22201 USA
ourcourses@statistics.com
www.statistics.com
• Biostatistics Certificate Program • Social Science Certificate Program
Partnership degree programs
• Thomas Edison State University
(TESU) – BS degree in Data
Science Analytics
• Escuela Superior de Economía
y Negocios (ESEN) – Post
graduate degree programs
The Institute for Statistics Education is is
certified to operate by the State Council of
Higher Education for Virginia (SCHEV).