Open Educational Resources
Open Educational Resources are free to use and offer students access to hundreds of quality academic papers, journals and books to help in your studies.
Make sure you have your ProQuest login details to hand. These can be found on Blackboard. Also, note you will be required to create a BookBoon account to access and download the textbooks.
Any questions or issues please contact our Librarian Luke Privitera - LPrivitera@holmes.edu.au
Analytics
OER Commons - Loss Data Analytics - This book introduces readers to methods of analyzing insurance data.
Open Textbook Library - Exploring Perspectives – This textbook aims to help give students a better understanding of how to discover, develop, and revise an analytical essay.
Open textbook Library - Basic Analysis – this textbook aims to teach basic analysis for one semester.
Open Textbook Library - Introduction to Real Analysis - The book is designed to fill the gaps left in the development of calculus as it is usually presented in an elementary course, and to provide the background required for insight into more advanced courses in pure and applied mathematics.
Bookboon - Applied Business Analysis - This textbook is a basic introduction to business analysis and the techniques behind deriving information from data.
business.com - How Data Analytics Impacts Small Businesses in 2024 – There are a ton of uses that can make small business smarter, productive and efficient.
Forbes - Why the Future of Data Analytics is Prescriptive Analytics - Analytics is probably the most important tool a company has today to gain customer insights.
IMD - Data Analytics & Artificial Intelligence – What it means for your business and society
BCcampus - Data Analysis - This resource covers the following learning objectives: explain the uses and misuses of statistics; demonstrate an understanding of mean, median, mode, range, quartiles, percentiles, standard deviation, the normal curve, z scores, sampling error, and confidence intervals; graphically present data in the form of frequency tables, line graphs, bar graphs, and stem and leaf plots; and design and conduct a statistics project, analyze the data and communicate your observations about the data.