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Study undergraduate online with University of South Australia through Open Universities Australia. Explore all degrees, subjects and short courses now.

UO R for Data Analytics

Quantitative Methods for Business

Develop your skills in gathering, interpreting and presenting data to achieve organisational goals. Discover how organisations use data to drive business growth, determine sales volumes required to break-even and identify profit or loss margins. Analyse real-world business problems using your maths and stats skills. Upgrade your skills in Excel as you learn to solve equations, use graphs, represent scatterplots, create tables and conduct hypothesis testing.UniSA Online’s 10-week short courses give you the flexibility to upskill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device.This is a first-year course from UniSA Online’s Business degrees.Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Learn the power of numbers in achieving business goals. Gain skills in gathering, interpreting and presenting data. Create growth by determining the sales volumes needed to break-even and make a profit. Learn through real cases.

In this course, you’ll be introduced to a powerful statistical computing software called R. R is a software with built-in functionalities to assist you in statistically analysing and visualising big sets of data with ease. As an open-source software, developers also continuously build packages and libraries that can be loaded into R to simplify complex statistical operations.  This course revisits basic concepts of statistics such as measures of centrality and distributions. You’ll also be introduced to different methods of hypothesis testing, as well as other statistical concepts. By the end of this course, you’ll leave with the skills to use R to analyse and solve statistical problems in various contexts. UniSA Online’s 10-week short courses give you the flexibility to upskill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.  Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. This is a third-year course from UniSA Online’s Bachelor of Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

University of South Australia

In this course, you’ll be introduced to a powerful statistical computing software called R. R is a software with built-in functionalities to assist you in statistically analysing and visualising big sets of data with ease. As an open-source software, developers also continuously build packages and libraries that can be loaded into R to simplify complex statistical operations.  

This course revisits basic concepts of statistics such as measures of centrality and distributions. You’ll also be introduced to different methods of hypothesis testing, as well as other statistical concepts. By the end of this course, you’ll leave with the skills to use R to analyse and solve statistical problems in various contexts. 

UniSA Online’s 10-week short courses give you the flexibility to upskill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.  

Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. 

This is a third-year course from UniSA Online’s Bachelor of Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.

Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

University of South Australia Undergraduate Statistics Subjects | Open Universities Australia

Course results for University of South Australia Undergraduate Statistics Subjects

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