Explore the fundamentals of object-orientated programming languages and learn how to visualise data with Python. Discover Python libraries and the tools to improve your data presentation. 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.
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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.
What topics will you cover?
- Python
- Object-oriented programming
- Visualisation in Python
What will you achieve?
By the end of the course, you‘ll be able to...
- Define object-oriented programming
- Define a class in Python
- Identify key components of visualising using Python and tools that can be leveraged
Who is the course for?
This course is designed for professionals looking to build confidence in Python and other programming languages.
It’s ideally suited to career-changers seeking a programming role, established technology professionals, and tech team leaders.
If you want to expand your knowledge of this subject, you may be interested in these courses. They are by the same provider, cover the same subject, and share overall learning outcomes:
- Programming Essentials with Python: Source Code and Solutions Architecture
- Programming Essentials with Python: Cloud Technology and SaaS
