COMM5000 Data Literacy for Business - 2024
Published on the 25 Aug 2024
General Course Information
Course Code : COMM5000 Year : 2024
Term : Term 3
Teaching Period : T3
Course Details & Outcomes
Course Description
Data literacy is the language of today's business; it plays a critical role in business decision making processes. Data is driving business and society, and UNSW graduates should have the skills to navigate and shape this new reality. In this course learners will gain the foundational knowledge and skills that underpin data literacy. The course will enable learners to use data effectively for decision-making and enable them to turn numbers into knowledge. Through this course, learners will gain confdence and skills in understanding how data is created and used to inform. decisions in 21st-century business contexts.
Course Aims
COMM5000 is offered as part of the frst-year data analysis core course in the Master of Commerce degree at the UNSW Business School. It aims to give you the basic skills and knowledge for data analysis that will be used in further study in all other disciplines in the Business School. The course is designed to equip students with statistical and other quantitative skills that are in demand by employers in the public and private sectors. In particular, COMM5000 will
1. Prepare learners to effectively use data to make informed business decisions
2. Develop learner profciency by using analytical tools
3. Cultivate learner ability to solve business problems through data analytics Ensure learners are job ready to use analytical tools in all areas of business
4. Provide learners knowledge required to use data ethically.
Relationship to Other Courses
COMM5000 is offered as part of the frst-year data analysis core course in the Master of Commerce degree at the UNSW Business School. It aims to give you the basic skills and knowledge for data analysis, including statistical inference and prediction, that will be used in further study in all other disciplines in the Business School. The course is designed to equip students with statistical and other quantitative skills that are in demand by employers in the public and private sectors.
In particular, COMM5000 will prepare learners to effectively use data to make informed business decisions through the analysis of causality and correlation between variables and modelling of the underlying relationships. At the end of this course, students are job ready and are capable of using descriptive statistics and inferential methods in all areas of business. Furthermore, students will acquire knowledge required to use data ethically.
Course Learning Outcomes
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Course Learning Outcomes
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Program learning outcomes
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CLO1 : Identify different types of data, their relevance and use for a range of problems or questions to inform business decision making.
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• PLO1 : Business Knowledge
• PLO2 : Problem Solving
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CLO2 : Apply foundational analytical tools;
transforming data, explaining and predicting with statistical models to inform. decisions
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• PLO1 : Business Knowledge
• PLO2 : Problem Solving
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CLO3 : Use insights from different types of data to identify and evaluate solutions to complex real-life scenarios
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• PLO3 : Business Communication
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CLO4 : Effectively communicate data insights and recommendations to stakeholders
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• PLO3 : Business Communication
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CLO5 : Recognize and evaluate key ethical and governance issues surrounding data collection, storage and use.
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• PLO5 : Responsible Business Practice
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Course Learning Outcomes
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Assessment Item
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CLO1 : Identify different types of data, their relevance and use for a range of problems or questions to inform business decision
making.
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• 1) Preliminary insight development
• 2a) Project Proposal
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CLO2 : Apply foundational analytical tools; transforming data, explaining and predicting with statistical models to inform. decisions
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• 2b) Business Report
• 1) Preliminary insight development
• 2a) Project Proposal
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CLO3 : Use insights from different types of data to identify and evaluate solutions to complex real-life scenarios
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• 2b) Business Report
• 2a) Project Proposal
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CLO4 : Effectively communicate data insights and recommendations to stakeholders
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• 2b) Business Report
• 2a) Project Proposal
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CLO5 : Recognize and evaluate key ethical and
governance issues surrounding data collection, storage and use.
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• 2b) Business Report
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