Diploma in Data Analytics using Python

Python has become one of the most useful and widely used programming languages by both software developers and data scientists. One of the main reasons it is popular as a programming language is that it’s a great way to learn how to code. It reads almost like plain English and has many features that allow you to write complex tasks very simply.

This introductory-level Python programming course is specifically designed for those with little or no previous experience in the area. It provides learners, regardless of their background, to feel justifiably confident in their ability to write code and is ideal for any learner with an interest and motivation to embark in a career in software development.

On this programming course, you’ll go from a complete beginner with no prior programming experience to having a solid understanding of the Python programming language.

You’ll begin by completing basic exercises that focus on the core concepts of programming. As you progress, you’ll learn how to use variables to store, retrieve and calculate information. Then move conditional execution, iteration and many other functions, lists, list processing, objects custom types and, handling exceptions.

The course uses a package called Jupyter Notebooks to practice programming. The main emphasis of the course will be hands-on, so students will be required to program for themselves during lectures, and practice outside the classroom. Students should commit to at least 5 hours learning outside of class time each week.