Quantitative Risk Analysis with R - (4 days)
Duration: 4 full days
Minimum of 6 people and maximum of 15
This 4-day course will cover the core principles of quantitative risk analysis and the most important risk modeling principles, methods and techniques. The course will be taught using the R statistical language but the lessons apply equally well to other modeling environments. The focus of the course is on how to conduct accurate and effective quantitative risk analyses, including best practices of risk modeling, selecting the appropriate distribution, using data and expert opinion, and avoiding common mistakes. The course will also cover essential probability and statistics theory and various stochastic processes to provide the participants with a solid understanding of quantitative risk analysis.
* The program might be slightly modified based on relevance to audience.
Who should attend
Anyone in business, government and science with an interest in quantitative risk analysis such as professionals needing to perform (or provide feedback) quantitative risk analysis in finance or operations, epidemiology, engineering, project risk analysis, among others. Also, people who have experience in risk analysis using spreadsheets but want to learn how to use a more flexible modeling environment such as R.
Prerequisites and required software
Participants are required to bring laptops loaded with R, and a pdf reader. R is an open-source freeware that works for Windows, Mac, or Linux and can be downloaded free of charge from the R Project website. As R is updated constantly, please download the latest version before attending the course. Also, it is recommended that participants use a code editor to facilitate the writing and storage of code: we recommend Tinn-R for Windows users, and RStudio for Mac users.
Prior experience using R or other simulation tools is not required.
The course runs from 09:00 to 17:00 each day, but registrations on the first day begin at 8:30am. Morning and afternoon coffee and lunch are provided. Group dinners will be provided on Thursday. The course will be delivered in English.
ModelAssist is a comprehensive risk analysis training reference and is free of cost. This reference tool provides an in-depth explanation of all of the risk analysis concepts, techniques and methods introduced in this course and greatly complements the course material. ModelAssist can be downloaded directly from our website.
All of EpiX Analytics' courses aim to help the participants understand risk analysis from the bottom-up, which is achieved through a relaxed, informal and interactive environment using plenty of examples and hands-on exercises where students apply and adapt what they have learned.
Our training courses provide an opportunity to develop or extend your professional network. We therefore arrange optional fun, interactive social events which take advantage of local attractions, cuisine, and culture. All social events are included in the course fee.
Lodging and transportation
Course participants must arrange their own accommodation. However, we will be happy to provide information and alternatives for your travel arrangements. After you complete your registration form, please let us know that you will need our help.
|* Early registration - 10% off registration (register and pay 30 days before course start date)|
|* Government/Academic - 5% off registration (Proof of eligibility requested after registration)|
|* Student - 25% off registration (Proof of eligibility requested after registration)|
|* Please contact us to obtain the discount code that you qualify for.
|3 registrants - 17% off total registration|
|4 registrants - 25% off total registration|
|5+ registrants - please contact us for special discount rate|
Please note that discount rates cannot be combined. Discounts exclude online courses via statistics.com and joint courses offered with other institutions.
Please contact us to inquire about courses not currently scheduled.
|Start Date||May 01, 2018|
|End Date||May 04, 2018|
|Location||Fort Collins, CO, USA|