Course curriculum

    1. Welcome Screen

    2. Why Python?

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    3. Foundations in Python Presentation

    4. How to use the Actuartech platform

    5. Software and package requirements

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    1. 0.1 - Objectives

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    2. 0.2 - Introducing Python

    3. 0.3 - How to get set up

    4. 0.4 - A User Guide for Jupyter Notebooks

    5. 0.5 - Other ways to code in Python

    6. 0.6 - Overview of Quizzes, Coding Challenges and Assessments

    1. 1.1 - Overview

    2. 1.2 - Basic Concepts

    3. 1.3 - Basic data structures and range() function

    4. 1.4 - Example: Using Python as a Calculator

    5. 1.5 - Conditionals

    6. 1.6 - Summary

    7. 1.7.1 - Plot Customisation (Optional)

    8. 1.7.2 - Different plots (Optional)

    9. Problem Specification Quiz

    10. Coding Challenge Week 1

    1. 2.1 - Overview

    2. 2.2 - Random data creation

    3. 2.3 - Arrays and series

    4. 2.4 - Matrices

    5. 2.5.0 - DataFrames: Introduction, subsetting and filtering

    6. 2.5.1 - DataFrames: More subsetting and lookup functions

    7. 2.5.2 - DataFrames: Missing (or NA) values

    8. 2.5.3 - DataFrames: Adding or removing data

    9. 2.5.4 - DataFrames: Categorical variables, summary and sorting

    10. 2.5.5 - DataFrames: Pivot table and grouping

    11. 2.5.6 - DataFrames: Time series

    12. 2.6 - Reading and Writing External Data Sets

    13. 2.7 - Built-in Datasets

    14. 2.8 - Summary

    15. Data Collection Quiz

    16. Coding Challenge Week 2

    1. 3.1 - Overview

    2. 3.2 - Loops

    3. 3.3 - Functions

    4. 3.4 - Object-Oriented Programming

    5. 3.5 - Example: Natural Disasters

    6. 3.6 - Example: Cash Flows

    7. 3.7 - Summary

    8. Data Management Quiz

    9. Coding Challenge Week 3

    1. 4.1 - Overview

    2. 4.2 - Object Functions

    3. 4.3 - Mathematical Functions

    4. 4.4 - Statistical Functions

    5. 4.5 - Statistical Models: Introduction to Linear Regression

    6. 4.6 - Summary

    7. Model Building Quiz

    8. Coding Challenge Week 4

About this course

  • £325.00
  • 72 lessons
  • 0 hours of video content