Browse Hierarchy SPZ401: Applied Data Science

Back to NS-SPCS-PHAS: Department of Physics and Astronomy
This module provides a wide range of introductory object-oriented programming, data analysis and data visualisation skills. The main focus is the powerful programming languages of Python, R, Matlab and visualisation tools of Tableau, Google Charts, Microsoft Power BI and JupyterR. The weekly interactive learning sessions will be supplemented by weekly computer laboratory/coding drop-in sessions allowing students to acquire the hands-on and on-screen experience they need in exploring the landscape of data science. Students will work collaboratively to draw conclusions and extract useful information from available datasets. They will gain the invaluable skills on how to interpret and report their analysis and results in ways that are informative and appropriate to varied audiences including internal and external stakeholders for informed decision making purposes.

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