代写COMM5000 Data Literacy for Business - 2024代写C/C++编程

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

Course Learning Outcomes	Program learning outcomes
CLO1 : Identify different types of data, their relevance and use for a range of problems or questions to inform business decision making.	• PLO1 : Business Knowledge • PLO2 : Problem Solving
CLO2 : Apply foundational analytical tools; transforming data, explaining and predicting with statistical models to inform. decisions	• PLO1 : Business Knowledge • PLO2 : Problem Solving
CLO3 : Use insights from different types of data to identify and evaluate solutions to complex real-life scenarios	• PLO3 : Business Communication
CLO4 : Effectively communicate data insights and recommendations to stakeholders	• PLO3 : Business Communication
CLO5 : Recognize and evaluate key ethical and governance issues surrounding data collection, storage and use.	• PLO5 : Responsible Business Practice

Course Learning Outcomes	Assessment Item
CLO1 : Identify different types of data, their relevance and use for a range of problems or questions to inform business decision making.	• 1) Preliminary insight development • 2a) Project Proposal
CLO2 : Apply foundational analytical tools; transforming data, explaining and predicting with statistical models to inform. decisions	• 2b) Business Report • 1) Preliminary insight development • 2a) Project Proposal
CLO3 : Use insights from different types of data to identify and evaluate solutions to complex real-life scenarios	• 2b) Business Report • 2a) Project Proposal
CLO4 : Effectively communicate data insights and recommendations to stakeholders	• 2b) Business Report • 2a) Project Proposal
CLO5 : Recognize and evaluate key ethical and governance issues surrounding data collection, storage and use.	• 2b) Business Report