UNIVERSITY OF NEW ENGLAND
QM162 - Introduction to Business Analytics
Final Examination Guide and Notes 2023
 
Part 01. Topic Summary and Exam Tips
Part 02. Practice Exam Questions and Answers
Part 03. Sample Final Examination Paper
Part 04. Suggested Solutions to Final Exam Paper
 
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University of New England - QM162: Introduction to Business Analytics

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ACADEMIC YEAR 2023 - 2024

University	University of New England
Study Level	Undergraduate
UNE Unit Code	QM162
UNE Unit Name	Introduction to Business Analytics
Notes Title	Final Examination Guide and Notes
Page Length	67

This excellent study guide is designed to aid in the revision process for the QM162: Introduction to Business Analytics unit at the University of New England, specifically targeting the final examination in 2023. The guide includes practice questions that closely resemble actual exam questions, accompanied by detailed answers and explanations. It also emphasises core exam topics, presenting clear and straightforward diagrams that are easy for students to comprehend and recall during the final exam. As an ideal study resource, it will efficiently bring you up to speed on the course content, ensuring that you not only master the material but also succeed in the end-of-semester final examination.

In today's data-driven world, businesses have access to extensive information regarding their operations and finances. Professionals skilled in transforming this data into valuable insights are in high demand. The QM162: Introduction to Business Analytics unit expands your knowledge of various techniques used to aid decision-making in businesses. Building upon introductory business statistics, this unit delves into descriptive analytics, inferential analytics, and predictive business analytics. You will sharpen your abilities in data exploration, probability analysis, decision-making under uncertainty, statistical inference, regression analysis, and time-series forecasting. Additionally, you will learn the basics of optimization modelling and data mining.

Throughout the unit, you will utilise suitable business analytics software. Upon completing this unit, students will:

Grasp the fundamental principles of business analytics and their connection to business decision-making.
Comprehend and apply relevant quantitative techniques for descriptive, inferential, and predictive business analytics.
Utilise statistical tools and software to analyse data and support business decision-making.

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QM162	Introduction to Business Analytics

University of New England - QM162: Introduction to Business Analytics

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