“R Programming - Intermediate” is an online course offered at Statistics.com. Statistics.com is the leading provider of online education in statistics, and offers over 100 courses in introductory and advanced statistics. Courses typically are taught by leading experts. Some course highlights - A. Taught by renowned International Faculty (Not self-paced learning) B. Instructor led and Peer learning C. Flexible and Convenient schedule D. Practical Application and Software skills For more details please contact info@c-elt.com. Website: www.india.statistics.com

1. Online course
Introduction to Quantitative Risk Analysis
Taught by Dr. Huybert Groenendaal and Mr. Greg Nolder
(http://www.statistics.com/risk/)
Risk is the handmaiden of economic activity. Protection from risk was first offered as a
separate product in Genoa in 1347, and is now a large industry in its own right.
Attaching a value to risk is the province of risk analysis and risk modeling, the subject of
Huybert Groenendaal's and Greg Nolder's online course "Introduction to Quantitative
Risk Analysis" at Statistics.com.
This course will cover the most important principles, techniques and tools in
Quantitative Risk Analysis. The focus of the course is on how to conduct accurate and
effective risk analyses, including framing a risk analysis problem, best practices of risk
modeling, selecting the appropriate probability distribution, using data and expert
opinion, and presenting risk analysis results. In addition, the course will cover an
introduction to probability and statistics theory and various stochastic processes, which
is critically important to a solid understanding of quantitative risk analysis.
The course will also familiarize participants with risk analysis modeling environments in
Excel (course participants can use @RISK from Palisade, Crystal Ball from Oracle, or
ModelRisk from Vose Software), but the lessons and techniques apply equally well to
other modeling environments). The course will also cover common mistakes made when
doing quantitative risk analysis and how to avoid them.
Who Should Take This Course:
Anyone in business, government and science with an interest in quantitative risk
analysis such as professionals needing to perform quantitative risk analysis in areas
indcluding, but not limited to, finance, business development, economics, operations,
engineering, six sigma, project risk analysis, marketing, epidemiology and microbiology.
Course Program:
Course outline: The course is structured as follows
SESSION 1: Introduction to Risk Analysis
 Core ideas of risk analysis
 Going from data to knowledge to a decision-making tool
 Introduction to statistical descriptors
o Mean, mode, standard deviation, skewness, kurtosis, percentiles
 Probability concepts

2. SESSION 2: Probability Theory
 Graphical representations of risk events: Venn diagrams, fault trees and event
trees
 Introduction to risk modeling
o Monte Carlo simulation, ModelRisk, @RISK, Crystal Ball and Excel
o Brief tutorial on ModelRisk, @RISK, and Crystal Ball
o Calculation vs. simulation - the pros and cons of Monte Carlo
SESSION 3: Building Risk Analysis Models
 Most commonly used probability distributions
 Good practices in risk modeling
 Common mistakes and how to prevent them
SESSION 4: Presenting Results
 Typical risk analysis results, their presentation and interpretation
 Example quantitative risk analyses, including:
 Project costs risk analysis
o Engineering
o Marketing
o Operations
o Financial risk analysis
o Health and Epidemiology
Homework:
Homework in this course consists of short answer questions to test concepts, guided
data analysis problems using software, and guided data modeling problems using
software.
Software:
Assignments in this course will require the use of spreadsheet-based Monte Carlo
simulation software. Course illustrations and homework assignments will use @RISK,
Crystal Ball and ModelRisk. Illustrations and model homework answers will be available
for these three programs, but the instructors will be able to answer questions about all
three packages. @RISK, Crystal Ball and ModelRisk will be made available to course
participants at no charge - download instructions and a limited time free demo license
will be provided to all course participants at the start of the course.
Instructor:
Dr. Huybert Groenendaal, Managing Partner at EpiX Analytics, helps clients in industry
and government with financial investment evaluations, project risk analysis, forecasting,
operations, transportation logistics, epidemiology and more. He also organizes and

3. teaches "Quantitative Risk Analysis", "Project Risk Analysis", and "Corporate Risk
Analysis" courses and workshops worldwide and has taught on risk analysis in the
executive MBA program of the University of Texas at Dallas.
Mr. Greg Nolder, is an experienced risk analysis consultant having worked with
numerous clients from diverse industries such as computer hardware, pharmaceuticals,
banking, finance, construction, mining, oil & gas, chemicals, consumer packaged goods,
transportation and engineering. He has particular interest in systems involving
stochastic optimization, general QRA and applying analytics to amateur and professional
sports. Participants can ask questions and exchange comments with Dr. Groenendaal
and Mr. Nolder via a private discussion board throughout the period.
This course takes place over the internet at the Institute for 4 weeks. During each course
week, you participate at times of your own choosing - there are no set times when you
must be online. The course typically requires 15 hours per week. Course participants will
be given access to a private discussion board so that they will be able to ask questions
and exchange comments with instructor, Dr. Huybert Groenendaal and Mr. Greg Nolder.
The class discussions led by the instructor, you can post questions, seek clarification,
and interact with your fellow students and the instructor.
For Indian participants statistics.com accepts registration for its courses at reduced
prices in Indian Rupees through us, the Center for eLearning and Training (C-eLT), Pune.
For India Registration and pricing, please visit us at www.india.statistics.com.
Email: info@c-elt.com
Call: +91 020 66009116
Websites:
www.india.statistics.com
www.c-elt.com