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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.