Data analysis and analytics. Uncover insights and transform your organisation.

The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s massive library of functions and user-friendly development environments, make it easy to clean, combine, analyse and visualise data from a variety of sources. The creation and distribution of routine reports can be automated, saving valuable work time.

This is a practical ‘learning-by-doing’ course. With the help of expert guidance and supervision, you will develop your own Python script to automate the management, analysis, visualisation and reporting of a real-world dataset (provided).

This course is part two of a two-part Introduction to Python series. We recommend enrolling in both courses to gain entry level skills. Enrolment in both courses is not compulsory. Please use the CCE Python self-assessment tool if you are unsure which course level to enrol in.

Please ensure Anaconda Python is installed on your device before class. For further details, see 'Before the course'.

Aims

In this course, you will build on the fundamental Python programming skills acquired in the Python Programming Course: Level 1A and learn to apply them to contemporary data analytics: managing and analysing data, and visualising and publishing insights to inform decision-making.

Outcomes<