Data Analysis, Tools & Application COM418
Why is this module important?
In the digital era the amount of data managed by companies is tremendous. New tools are required to process this data and extract knowledge.
The module takes the students through the data life cycle process; collecting, cleaning, processing, analysis and interpretation. Many different technologies will be used in this process.
By the end of this module you will be able to:
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Identify appropriate tools and techniques for data analysis, data visualisation and presentation.
- Carry out small-scale research, information gathering and data collection to generate knowledge to support the project with some guidance.
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Discuss the use of relevant data analysis tools.
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Collaborate in groups on projects and work on each step of the data life cycle.
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Summarise and present the results of data analysis to a range of stakeholders making recommendations.
- Communicate and summarise and present the results of data analysis to a range of stakeholders making recommendations.
What you will be able to do after the module:
The Data Analysis, Tools and Application module consists of three parts:
Part 1: Foundations of Data Analysis
- Types of Data
- Data collection and Processing
- Legal and Ethical Issues
Part 2: Descriptive Analytics
The Quantitative Measurement and Probability Data Visualisation Cluster Analysis
Part 3: Predictive and Prescriptive Analytics
- Regression Analysis
- Trendlines Analysis
- Decision Analysis
We use Microsoft Excel and PowerBI desktop for the delivery. Our students will build up their analysis skill using ranging of tools in Excel together with visualising data using PowerBI. in Excel together with visualising data using PowerBI.
Assessments
AE1 - Individual Report 2000 words (70%)
AE2 - Project Presentation plus notes 5 minutes per person plus 5 minutes questions to the group