On this course, you’ll examine the core principles of data-visualisation libraries.

You’ll learn to define object-oriented programming, explore the key components of visualising with Python and the tools that can be leveraged.

You’ll also explore other Python libraries and their uses, learning how to define and compare them.

Learn how to use Matplotlib in Python

Matplotlib is a multi-platform plotting library for Python. It allows you to produce quality 2D charts in just a few lines of code.

The course will take you through the basics of the Python Matplotlib package, from its objects to its architecture, and you’ll learn how to create static plots using the library.

Understand how to use the Seaborn library for data visualisation

Seaborn is a Python data-visualisation library based on Matplotlib that provides a high-level interface for drawing statistical graphics.

You’ll examine the architecture and objects of the Seaborn package, learning how to use it to create static visualisations and customise Seaborn plots.

Explore the basics of object-oriented programming languages

Object-oriented programming (OOP) is a method of structuring a program by bundling related behaviours and properties into individual objects.

This course will introduce you to the core principles of OOP. It will teach you how to articulate object-oriented programming and how it relates to the Python language.

By the end of this course, you will be able to differentiate between various types of cloud architecture, speak fluently to tech teams about Python options and applications, and complete basic tasks using Python.