Applied Coding for Risk Management Seminar, Presented by the ERM Program

January 19 – April 12, 2024
Time for all workshops: 11:00 am – 12:30 pm ET

Coding is a powerful tool used everywhere. This Python based seminar series is intended to take your ability to model risk to the next level. The seminar covers business simulation, database queries on time series data, object oriented programming applied to games, analytics with Python, and intermediate Python.

How To Join a Session

Click here at 11:00 am ET on the day of your desired workshop to join virtually. Each workshop ends at 12:30 pm ET.

Workshop Info 

Friday, January 19 | 11:00 am to 12:30 pm ET
OOP and Games 1
Object Oriented Programming is a powerful tool for collaborative work. The approach is used on large projects, 3rd party analytics platforms. And a great way to learn to code with objects is to build a game in Python! In part 1, we'll use PyGame to build objects and control them.

Friday, January 26 | 11:00 am to 12:30 pm ET
OOP and Games 2
Object Oriented Programming is a powerful tool for collaborative work. The approach is used on large projects, 3rd party analytics platforms. And a great way to learn to code with objects is to build a game in Python! In part 2, we'll make a game with those objects.

Friday, February 2 | 11:00 am to 12:30 pm ET
APIs with Python
The things that we can do with python go beyond our desktop computers. Services are now available through the cloud. Come join as we show you how to use APIs to access open AI, Dalle-2, Gmail, and other services and data sources.

Friday, February 9 | 11:00 am to 12:30 pm ET
Time Series Data 1
Information is frequently organized across time. And this time series of data usually requires its own style of analytics and syntax. Come learn that syntax in Python. In part 1, we'll cover the foundational tools for modeling time series data.

Friday, February 16 | 11:00 am to 12:30 pm ET
Time Series Data 2
Information is frequently organized across time. And this time series of data usually requires its own style of analytics and syntax. Come learn that syntax in Python. In part 2, we'll cover how to model volatility.

Friday, February 23 | 11:00 am to 12:30 pm ET
OOP and Inheritance
After the hands-on experience building a game with Python, we can now study some of the theory behind Object Oriented Programming.

Friday, March 1 | 11:00 am to 12:30 pm ET
Monte Carlo Simulation
Some complex events can't be modeled with formulas but they can be simulated. Come join us to explore using Monte Carlo Simulation.

Friday, March 8 | 11:00 am to 12:30 pm ET
Intermediate Python 1
Come learn about list comprehensions, decorators, contexts, lamdba functions, map, filter, generators, args & kwargs, and much more!

Friday, March 22 | 11:00 am to 12:30 pm ET
Intermediate Python 2
Come learn about list comprehensions, decorators, contexts, lamdba functions, map, filter, generators, args & kwargs, and much more!

Friday, March 29 | 11:00 am to 12:30 pm ET
Analytics with Python 1
The toolbox of analytics available today is amazing and all it takes to be able to use that toolbox is a little bit of python. Come learn how to use python to kick off the most popular analytical tools.

Friday, April 5 | 11:00 am to 12:30 pm ET
SQL and Time Series Data
Analyzing Time Series data requires management of timestamps and intervals, which can be challenging to handle with SQL. Come join us as we work through this challenge in the context of a loan portfolio.

Friday, April 12 | 11:00 am to 12:30 pm ET
Analytics with Python 2
The toolbox of analytics available today is amazing and all it takes to be able to use that toolbox is a little bit of python. Come learn how to use python to kick off the most popular analytical tools.