Mid-Module Assessment 

1 - Set exercises - 30

End-of-Module Assessment 

2 - Set exercises - 70

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The module will include: 
<ul><li>Business analytics concepts and data </li></ul>
<ul><li>Data visualisation techniques and tools </li></ul>
<ul><li>Interpreting and presenting information </li></ul>
<ul><li>Communication of analytical insights </li></ul>

Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

Directed Asynchronous - 

Self-directed - 

Business Analytics: Methods, Models, and Decisions 

DAM401 - ​Introduction to Business Analytics and Data Visualisation​ 

DAM401-YEAR-ONL-REM

This module has 8 blocks of online asynchronous learning. In each of these blocks there will be guided independent study plans for the module that you can engage, at your own pace, and around your other work and personal commitments. These study plans will typically consist of a mixture of videos, associated reading, problems and self-assessment quizzes that are appropriate for that part of the module. Support will be available by contacting the module team via the VLE or via e-mail.

It should be noted that the 150 hours below includes the time to prepare and submit the necessary assessments.

​Introduction to Business Analytics and Data Visualisation​ 

Assess and utilise core business analytics concepts and methods in order to interpret and inform decisions. 

Knowledge

Use appropriate tools in relation to data analytics.

Skills

Create, interpret, and present insights through visualisations. 

Demonstrate a reflective approach to business analytics and data visualisation practice. 

Values and attitudes

Select approaches for collecting, preparing, and visualising business data. 