A new product will be added to your cart each time you click the Product button.
If additional options exist (checkboxes) to further customize your product and you'd like to choose one of the them, please select the option before clicking the product button to add to your cart.
Click here to edit your cart.
All prices shown in USD | Click here to view our digital terms
Start using Python in your job right away
Designed for Actuaries who want to learn a new tool to do their job better. Built to make you proficient and functional in Python as quickly as possible so that you can improve your actuarial processes. As an actuary, Python is one of the most powerful tools you can learn for your career, as it's the language of choice for machine learning and data analysis.
This course is right for you if you are a beginner to Python or programming in general. Throughout the video course, you can reach out to the instructor to ask questions via email.
This course has 53 videos (over 5 hours of content) organized into different topics. Each video has relevant code examples in a "notebook" that will allow you to run and edit the code to better understand how it is working. At the end of each section, there is an exercise or project combining all the topics from the section. This will holistically bring all your learnings together to help you see how things connect and relate to each other.
The course structure starts with a walkthrough of how to get your environment setup, followed by foundational topics and Python-specific basic objects. Then it moves to using Python in a more actuarial context with a deep dive into Pandas, the most powerful data analysis library in Python. The course finishes with a capstone project to bring the topics all together.
About the Instructor
Aaron Smith is an FSA who has worked in valuation, risk management/hedging, modeling, technology, and pricing, always with an eye towards process improvement and helping others make the best use of technology. His current role is focused on helping actuaries automate and improve their development processes and workflows. Python is Aaron’s favorite tool and has made his job much more efficient.