Actuartech

Foundations in Python for Actuaries Presentation

0.2 - Introducing Python

0.3 - Installing Python, External Packages, Jupyter, and Spyder

0.4 - Working with Jupyter Notebooks and Spyder (Optional)

0.5 - Using Jupyter Notebooks in this Platform (Mandatory)

0.6 - Overview of Quizzes, Coding Challenges and Assessments

1.1 - Overview

1.2 - Basic Concepts

1.3 - Basic data structures and range() function

1.4 - Example: Using Python as a Calculator

1.5 - Conditionals

1.6 - Summary

1.7.1 - Plot Customisation (Optional)

1.7.2 - Different plots (Optional)

Problem Specification Quiz

Coding Challenge Week 1

Coding Challenge Week 1 - MEMO

2.1 - Overview

2.2 - Random data creation

2.3 - Arrays and series

2.4 - Matrices

2.5.0 - DataFrames: Introduction, subsetting and filtering

2.5.1 - DataFrames: More subsetting and lookup functions

2.5.2 - DataFrames: Missing (or NA) values

2.5.3 - DataFrames: Adding or removing data

2.5.4 - DataFrames: Categorical variables, summary and sorting

2.5.5 - DataFrames: Pivot table and grouping

2.5.6 - DataFrames: Time series

2.6.0 - Entry to Reading and Writing External Data Sets

2.6 - Reading and Writing External Data Sets

2.7 - Built-in Datasets

2.8 - Summary

Data Collection Quiz

Coding Challenge Week 2

Coding Challenge Week 2 - MEMO

3.1 - Overview

3.2 - Loops

3.3 - Functions

3.4 - Object-Oriented Programming

3.5 - Example: Natural Disasters

3.6 - Example: Cash Flows

3.7 - Summary

Data Management Quiz

Coding Challenge Week 3

Coding Challenge Week 3 - MEMO

4.1 - Overview

4.2 - Object Functions

4.3 - Mathematical Functions

4.4 - Statistical Functions

4.5 - Statistical Models: Introduction to Linear Regression

4.6 - Summary

Model Building Quiz

Coding Challenge Week 4

Coding Challenge Week 4 - MEMO