MIS2008L Data Analysis for Decision Makers

Academic Year 2023/2024

In the era of Analytics and "Big Data", there is a challenge to turn data into insight. Data Analysis is the application of statistical techniques to describe and explore a set of data with the objective of highlighting useful information. Data Analysis is used to support
evidence-based decision making.

This module is a foundation in data analysis for all business students and aims to serve the needs of subsequent courses in areas such as marketing, finance, accounting and business analytics. The three main areas introduced in this course are:
1. Quantitative Analysis and Descriptive Statistics: how to gather and interpret large volumes of data in order to describe the information in concise and useful ways. For example, what is the average spend of a sample of customers in a coffee shop? Practical exercises will use a
spreadsheet tool such as Excel.
2. Probability and Distributions: discrete and continuous with examples from the real world
3. Inferential Statistics: how to infer population parameters from sample statistics. For example, estimate how much is likely to be spent in the coffee shop in total.

This module is delivered using blended learning. Learning resources are available on Brightspace and participants engage in active learning exercises during face-to-face contact time.