About This Event
Along with R, Python has emerged as an appealing option for actuarial work. Python is a free and open source language with a large, global community of users. Python supports general-purpose programming including automation of file system operations, data I/O, and plotting. A number of packages are available to carry out classical statistical analysis, as well as more recent statistical learning methods. There are also packages which perform specific actuarial methods like loss reserving.
This workshop will introduce Python and show how to perform data collection, data visualization, and data analysis in Python. There will be six 90-minute sessions.
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 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.
Virtual Workshop Recordings
Recordings of this workshop are available to attendees on our UCAS platform for five years.
Technical Specifications
This event will be held on Microsoft Teams. For the best experience it is recommended that attendees download the Teams desktop app. Attendees may also use the web version of Teams through the following compatible browsers: Chrome, Safari, Firefox, and Microsoft Edge. Teams is not supported in Internet Explorer 11 or Opera.
Accessibility
The CAS seeks to do its utmost to provide equal access to participants with disabilities in accordance with State and Federal Law. Please refer to our Accessibility page for more information.
Speaker Opinions
The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS.
Contact Information
For more information on content, please contact Wendy Ponce, Professional Education Coordinator, at wponce@casact.org.
For more information on workshop logistics or attendee registration, please contact Leanne Wieczorek, Meeting Services Manager 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.
Limit up to 40 participants
When registering for this event online, please select your reg type to see the event fees available.
Limited to individual registrations only. Group registrations are not permitted.
| EARLY (BEFORE March 17) | LATE (AFTER March 18) | |
|---|---|---|
| Member | $650 | $750 |
| Non-Member | $850 | $950 |
Cancellation Information
Registration fees will be refunded for cancellations received in writing at the CAS Office via email, refund@casact.org, by March 28, 2024 less a $200 processing fee.
Brian Fannin
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.
Marcus Deckert
Marcus Deckert is an ACAS and data scientist with 14 years of insurance experience, the majority as a company actuary working on pricing and internal analysis models, ratemaking, and filing. Marcus uses Python to build models and analyze data to create new products and insights. His goal is to help you learn Python so you can work efficiently and deliver greater value to your organization.
| Session | Date | Topics Covered |
|---|---|---|
| 1 | Apr 4 |
Python Programming Basics |
| 2 | Apr 11 | Pandas 1: Data Frame Creation and Basic Data Manipulation |
| 3 | Apr 18 | Pandas 2: Data io with External Sources: Excel, CSV, Markdown, HTML, Web; Advanced Data Manipulation: Querying, Merging, Indexes, Stack, Unstack, Pivot-table, Tidy Data |
| 4 | Apr 25 | Pandas 3: Visualization and Reporting |
| 5 | May 2 | Modeling 1: Statsmodels GLMs Modeling 2: Machine Learning in Scikit-learn |
| 6 | May 16 | Modeling 3: Triangle manipulation and Loss Reserving in chainladder |
