CAS R for the P&C Practitioner Virtual Bootcamp

Event Details

-
Lecture Days: Tuesdays & Thursdays, 1:00 – 5:00 PM, ET (Break at 2:30 PM, ET) Capstone Office Hours: 45-minute Sessions (1:00 – 5:00 PM, ET)

About This Event

This intensive virtual bootcamp features five lectures, group Capstone Projects and office hours to engage directly with our distinguished instructors. With two sessions per week, over the span of four weeks, this course will give the attendee an introduction to the R programming language, with the objective of preparing attendees to be able to apply what they've learned upon completion of the course. To that end, the focus is on direct, interactive content delivery.

Attendance is limited to 30 participants, individual registrations only. Group registrations are not permitted.

Event information

Casualty Actuarial Society's Envisioned Future 

The CAS will be recognized globally as the premier organization in advancing the practice and application of casualty actuarial science and educating professionals in general insurance, including property-casualty and similar risk exposure. 

Continuing Education Credits 

The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide actuarial services. Actuarial services are defined in the CAS Code of Professional Conduct as "professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations". Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. 

This activity may qualify for up to 10.8 CE credits for the 2021 Intro to Python Virtual Workshop for CAS members. Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE credit per 50 minutes of educational session time, not to include breaks or lunch. 

Note: The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the American Academy of Actuaries. 

Learning Objectives

Attendees will complete the course with a working knowledge of R, having applied it in a realistic setting. More specifically, participants will finish the course having mastered the following:

  • Read data into the R environment from a variety of sources
  • Visualize data and use this as the basis of selecting a model
  • Fit several different models to a set of data, assess the quality of fit and choose between competing models
  • Manipulate data so that it may be modeled, or otherwise communicated
  • Use the "actuar" and "ChainLadder" packages, which are designed for actuarial applications

Capstone Projects

The CAS R Bootcamp will provide general instruction on how to use the R programing language in a virtual environment. The bootcamp will also provide Capstone projects in two different actuarial areas for applying learning objectives. Attendees will share project outcomes with the whole group on the last day using tools available in the broader “R Environment.” Attendees must choose their preferred topic during the registration process.

Ratemaking

Bootcamp attendees who sign up for this track will be given datasets representing premium and claims for a product line. The project will be to use R to analyze the data for trends and anomalies and identify and fit a model to the data that distinguishes between predictive characteristics. Track attendees will prepare disruption analyses, profitability projections, and other management information to communicate the effect of the new model on the portfolio.

Reserving

Attendees who sign up for this track will be given a dataset that contains loss triangles for several different lines of business in several different territories. Participants will conduct a reserve study using standard techniques like chain ladder as well as less common methods like the Clark growth curve model and hierarchical regression.

Virtual Seminar Recordings 

Recordings of this workshop are available to attendees on our UCAS platform for five years.  

Speaker Opinions 

The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS. 

Technical Requirements  

Test your system - https://care.citrixonline.com/gotomeeting/get-ready 

Contact Us  

For more information on content, please contact Wendy Ponce, Professional Education Coordinator, at wponce@casact.org.  

For more information on course logistics or attendee registration, please contact Leanne Wieczorek, Meeting Planner at lwieczorek@casact.org.  

For more information on other CAS opportunities or regarding administrative policies such as complaints and refunds, please contact the CAS Office at (703) 276-3100 or office@casact.org

Event registration

Register

Limit up to 30 Participants

Group Registrations are not Permitted

 

  Early (On/Before May 28) 

Late (On/After May 29)

Member/Subscriber/ Candidate/iCAS Member

$1,700 

$1,900 

Non- Member

$1,900 

$2,100 

Cancellations/Refunds
Registrations fees will be refunded for cancellations received in writing at the CAS Office via email, refund@casact.org, by June 8, 2021 less a $100 processing fee. 

Speakers

Brian Fannin has been an actuary for over 20 years. The data lack sufficient credibility for him to give a more precise estimate. Brian has been an Associate of the CAS since 2002 and a Certified Specialist in Predictive Analytics (CSPA) since 2017. He has worked in a variety of roles in commercial insurance, both primary and excess, here in the US as well as Europe, London and Asia. An early proponent of R, he has taught various workshops and seminars for the CAS, Actex and insurance clients. He is the author of the book “R for Actuaries and Data Scientists with Applications to Insurance”, published by Actex. He joined the staff of the CAS in March of 2018 as a Research Actuary. His focus is to enable CAS committees and research partners to work efficiently in developing relevant, practical content.

Adam L. Rich is a Pricing Actuary at Beazley Group in Farmington, CT and directs the Specialty Lines Analytics group. Adam has been programming computers for over twenty years and has been using and promoting the use of R for the past seven.

Schedule

Pre-Work

  • Install R, RStudio. Please access these helpful links.
  • Read the raw book.
  • Complete a few basic exercises.

Days

Date

Activity

Time

Sess 1 - Tues

22-Jun

Lecture 1 - Basics Review; Visualization #1; Capstone Intro
Goal: Load data into R and start doing exploratory data analysis

1 - 5 PM (break at 2:30 PM)

Sess 2 - Thur

24-Jun

Capstone Project Begins (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 3 - Tues

29-Jun

Lecture 2 - Modeling; dplyr; Tree methods; data visualization; ggplot2
Goal: Clean and manipulate data and do basic modeling

1 - 5 PM (break at 2:00 PM)

Sess 4 - Thur

1-Jul

Capstone Project (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 5 - Tues

6-Jul

Lecture 3 - Visualization #2; GLMs; Tree methods
Goal: More advanced graphics and modeling

1 - 5 PM (break at 2:45 PM)

Sess 6 - Thur

8-Jul

Capstone Project (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 7 - Tues

13-Jul

Lecture 4 - ChainLadder package; Distributions and Simulation; RMarkdown
Goal: Cover actuarial topics and others

1 – 5 PM

Sess 8 - Thur

15-Jul

Lecture 5 - Capstone Presentations
Goal: Review, presentations, and wrap-up

1 - 4 PM

Schedule

Pre-Work

  • Install R, RStudio. Please access these helpful links.
  • Read the raw book.
  • Complete a few basic exercises.

Days

Date

Activity

Time

Sess 1 - Tues

22-Jun

Lecture 1 - Basics Review; Visualization #1; Capstone Intro
Goal: Load data into R and start doing exploratory data analysis

1 - 5 PM (break at 2:30 PM)

Sess 2 - Thur

24-Jun

Capstone Project Begins (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 3 - Tues

29-Jun

Lecture 2 - Modeling; dplyr; Tree methods; data visualization; ggplot2
Goal: Clean and manipulate data and do basic modeling

1 - 5 PM (break at 2:00 PM)

Sess 4 - Thur

1-Jul

Capstone Project (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 5 - Tues

6-Jul

Lecture 3 - Visualization #2; GLMs; Tree methods
Goal: More advanced graphics and modeling

1 - 5 PM (break at 2:45 PM)

Sess 6 - Thur

8-Jul

Capstone Project (Office Hours) 8 Groups

1 - 1:45 PM
2 - 2:45 PM
3 - 3:45 PM
4 - 4:45 PM

Sess 7 - Tues

13-Jul

Lecture 4 - ChainLadder package; Distributions and Simulation; RMarkdown
Goal: Cover actuarial topics and others

1 – 5 PM

Sess 8 - Thur

15-Jul

Lecture 5 - Capstone Presentations
Goal: Review, presentations, and wrap-up

1 - 4 PM

Keep up with the latest CAS news