Data Analytics with Python
Duration: 1 Teaching Period
Unit Code: COS60012
Contact Hours: Recommended 10–15 hours of study per week
About this unit
This unit develop students’ conceptual and practical understanding of the field of data analytics in the contexts of real-world application.
You will learn basic concepts, techniques and popular tools that characterise professional data analytics, while also following the lifecycle of a practical data analytics project that involves data collection, wrangling, analytics and visualisation.
Upon completing the unit, you will possess a technical toolkit and be able to visualise data in Matplotlib and Seaborn, while also having the capacity to improve data visualisations in Python.