Indicative Content |
Introduction
Introduction to digital marketing data and terminology.
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Basic Mathematics
Basic arithmetic operations, calculations involving percentages, fractions and ratios, roots and powers. Apply various techniques to business problems.
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Introduction to Statistics
Different data types, tabulation of data, graphical representation of data and sampling. Measures of central tendency and dispersion including mean, median and standard deviation.
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Further Statistical Topics
Application of correlation, linear regression, and hypothesis testing in a marketing context (e.g. for A/B testing).
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Data Visualisation
Description of different data visualisation techniques, their purpose and when they are suitable to use.
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Computer Practicals
Application of theoretical material using relevant computer programs.
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Module Resources
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Recommended Book Resources |
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Mik Wisniewski & Farhad Shafti. Quantitative Analysis for Decision Makers, 7th Edition, 7th. [ISBN: 1292276614].
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Wayne L. Winston. (2014), Marketing Analytics: Data-Driven Techniques with Microsoft Excel, John Wiley & Sons, [ISBN: 111841730].
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Cole Nussbaumer Knaflic. (2019), Storytelling with Data - Let's Practice, John Wiley & Sons, [ISBN: 1119621496].
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Les Oakshott. (2016), Essential quantitative methods for business, management and finance, 6th. Palgrave, Macmillan Education, London, [ISBN: 9781137518569].
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This module does not have any article/paper resources |
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Other Resources |
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