Actuartech

Welcome Screen

Welcome Letter

How to use the Actuartech platform

0.2 - Introducing Python

0.3 - How to get set up

0.4 - A User Guide for Jupyter Notebooks

0.5 - Other ways to code in Python

1.1 Module 1 Overview

1.2 Introduction to Python

1.3 Data Collection: Case Study A

1.4 Data Collection: Case Study B

Appendix 1A: Reading and Writing External Data Sets

Appendix 1B: Built-in Datasets

Appendix 1C: DataFrames - Introduction, subsetting and filtering

Appendix 1D: DataFrames - More subsetting and lookup functions

Appendix 1E: DataFrames - Missing (or NA) values

Appendix 1F: DataFrames - Adding or removing data

Appendix 1G: DataFrames - Categorical variables, summary and sorting

Appendix 1H: DataFrames - Pivot table and grouping

Appendix 1I: DataFrames - Time series

2.5 Optional Coding Challenge: Introduction to Python

2.6 Optional Coding Challenge: Data Collection

2.1 Module 2 Overview

2.2 Data Management: Case Study A

2.3 Data Management: Case Study B

Appendix 2A: Loops

Appendix 2B: Functions

2.4 Optional Coding Challenge: Data Management

3.1 Module 3 Overview

3.2 Model Building: Case Study A

3.3 Model Building: Case Study B

Appendix 3A: End-to-end Linear Regression Example

3.4 Optional Coding Challenge: Model Building

4.1 Module 4 Overview

4.2 Visualisations: Case Study A

4.3 Visualisations: Case Study B

Appendix 4A: Line Plots

Appendix 4B: Scatter Plots

Appendix 4C: Bar Charts

Appendix 4D: Histograms and Density plots

Appendix 4E: Box Plots

4.4 Optional Coding Challenge: Visualisations