Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024 No Banner module data is available
| |||||||||||||||||||||||||||||||||||||||||||
Coursework Only |
|||||||||||||||||||||||||||||||||||||||||||
Description This module is designed to give students an insight into the tools and techniques used in Business Analytics and Business Intelligence to enable organisations use data to make better decisions. | |||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Will be able to effectively communicate the key elements of Business Intelligence and the advantages of an effective BI strategy in an Organisation 2. Will be able to effectively communicate and present the output from a wide variety of analytical tools 3. Will gain a knowledge of the applications of machine learning techniques in business 4. Will gain knowledge in the use of the Python Programming Language and POWER BI for Visualisation 5. Will have the ability to identify the correct questions to “ask” their data teams to help achieve a strategic goal or goals. | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
|||||||||||||||||||||||||||||||||||||||||||
Indicative Content and Learning Activities
Introduction to Business Analytics and Business IntelligenceWhat are Business Analytics and Business Intelligence, Lifecycle of Business Analytics Project, Applications in Industry, Growth of DataWhy Business Intelligence?Advantages of a BI strategy for a modern data driven Organisation. Obstacles and Challenges in delivering an effective BI strategyKey Business Intelligence SoftwareData Visualisation and Analysis Tools (POWER BI), Programming Languages (Python), Cloud Based ToolsAnalytical Techniques in Business AnalyticsDescriptive Analytics, Prescriptive Analytics, Predictive Analytics, Data Mining, Text Analytics, Network Analytics, Web AnalyticsMachine Learning and Artificial IntelligenceOverview of Machine Learning and AI. Applications in Business, Machine Learning Case Study | |||||||||||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||||||||||
Indicative Reading List
| |||||||||||||||||||||||||||||||||||||||||||
Other Resources None | |||||||||||||||||||||||||||||||||||||||||||