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Develop data analytics skills to solve critical societal &amp; business challenges.Data is reinventing businesses &amp; industries, creating unprecedented demand for professionals with business analytics skills. This program will shape you into a competent analytics professional, ready to solve real-world problems ethically &amp; responsibly.Learn how to apply modern analytics techniques; lead value-creating analytics projects; manage analytics offerings &amp; strategize to transform businesses with data &amp; artificial intelligence. You&#39;ll gain insights into best practices &amp; diverse perspectives on how to turn data into value for stakeholders.This fully online program has 3 starting points in the year and gives you the flexibility to work around other commitments.You can enrol if you have completed a related undergraduate program or have graduated from a program in other disciplines &amp; have at least 3 years of industry experience.If you come from a computing background, you may be interested in UQ&#39;s Master of Data Science. This program combines high-level analytical &amp; technical skills with industry-specific knowledge. It&#39;s one of the few programs in the world offering a cross-disciplinary education with direct industry contact &amp; practical experience.

Learn data science skills that will help you get ahead in business and marketing. Explore how to collect and analyse business data using different data mining techniques. You will be challenged to put your skills into practice in a capstone project.

Master of Business Analytics

Find data-driven insights for your business and make agile decisions with the Graduate Certificate of Business Analytics from Victoria University.Practical, real-world driven and business focused, our course is a winner! With a combination of a hands-on approach, student support network, use of open source environments and cloud technology, you will have the opportunity to learn new skills, upgrade your current ones and build a solid foundation for career growth.In an era where information and data are central to business, our Graduate Certificate teaches skills you can apply every day to solve business problems, create new opportunities and run the market.You&#39;ll discover the principles of data science, data visualisation, machine learning and Artificial Intelligence (AI) by using open-source environments, R and Python, leveraging cloud platforms at AWS and Github, and extending our global partnership with SAP. More importantly, you&#39;ll learn how to turn these principles into business profit.Building on our strong connections with local businesses and international partners, our course gives you hands-on experience and a true feel of using data to solve real world problems. You will develop a portfolio of projects to present in your CV, based on a continuous review of recent job market demands. Plus, you will have plenty of opportunities to network with industry experts and learn from mentors, supported by our Postgraduate Data Analytics association.The Graduate Certificate of Business Analytics course covers:<ul><li>data wrangling and visualisation</li><li>predictive analytics and big data</li><li>artificial intelligence and machine learning for business</li><li>cloud technology and data mining.</li></ul>Study in convenient eight-week blocksFollowing the overwhelming success of the revolutionary VU Block Model with undergraduate students, we have rolled out the Block Model to our postgraduate courses.This course is delivered in eight-week mode, which means you study two units (subjects) at a time over eight weeks (or one unit at a time over eight weeks for part-time study), rather than juggling several units at once. And with its focused timetables and smaller, collaborative classes, VU’s Block Model gives you more time to connect with your peers, lecturers and industry partners, helping you to build strong professional networks.The VU Block Model has improved our student results and engagement, and has won multiple international awards for innovation and excellence. Benefit from industry partnerships with multibillion-dollar companiesWith VU’s Graduate Certificate in Business Analytics, you will learn how to apply up-to-date business and technology trends to real-world problems.Many of our lecturers work in the industry. We also have strong industry partnerships with businesses such as Linfox and SAP. These keep our course relevant, and give you valuable work experience.During your study, you’ll have the chance to learn from global and local organisations in SAP-related roles, and gain authentic experience in analytics, business intelligence and other ERP areas.Our current SAP project-partner organisations are multibillion-dollar companies:<ul><li>AusNet services owners and operators of the Victorian electricity transmission network</li><li>O-I Glass - the world&#39;s leading glass container manufacturer.</li></ul>

Solve real-world business problems and seize opportunities with confidence backed by data. You’ll study data visualisation, data wrangling, cloud tech and more. Build connections and valuable work experience through industry SAP-project partnerships.

Graduate Certificate in Business Analytics

The Bachelor of Business and Enterprise has a focus on developing innovation and impact in a complex and changing business world with inspired and multidisciplinary learning experiences. You’ll become equipped with the practical skills, tools and knowledge that are vital for the sustainability of society, business and industry. Build a portfolio of professional experiences through a range of real world interactions with employers, industry and the community. You can undertake the course with a professionally accredited specialisation in accounting or financial services. Alternatively, you can choose a major in either business and data analytics, entrepreneurship and innovation, tourism management or aviation management, combining this with an industry project or an internship or a shared major from disciplines across the University.

Get set to run your own successful business or thrive as a business professional. This business degree offers a range of majors and specialisations so you can navigate today’s complex business world. Includes sustainability for that business edge.

Bachelor of Business and Enterprise

Jump into the real world of big data, high-level analytics and business transformation with the Graduate Certificate in Business Data Analytics from Charles Sturt. Study a course designed by and aligned with industry, so you can really make your mark.

Love how the nitty-gritty of numbers can paint a thousand words? Data analytics could be for you. Start learning how to use data tools for decision-making and storytelling in business. Get expert guidance from real data analysts.

Graduate Certificate in Business Data Analytics

Broaden your career opportunities with a postgraduate qualification in business analytics.If you want to master the basics, the Graduate Certificate in Business Analytics is designed for graduates who haven&#39;t previously studied in this area.You will complete four courses and learn core concepts and techniques that will prepare you to work with business analytics or for further study.On completion, you can choose to progress to the Master of Business Analytics.

Take your business career in a new direction by embracing the power of analytics. Explore how you can use data insights tools, social platforms and artificial intelligence to gather valuable insights. Use this knowledge to enrol in further specialised study.

Torrens University&#39;s Master of Business Analytics teaches you to convert data into solutions. Gain practical knowledge in analytics and diversify your career with data-driven skills in key analytical areas such as artificial intelligence, data, optimisation, and visualisation and storytelling will be developed in this course.The unique course design also provides the ability to link into other study opportunities for further career development including a Master of Business Administration or Master of Business Information Systems.Tailor your study to your lifestyle thanks to our innovative digital learning system, accessible from anywhere with 24/7 personalised support. With all your course materials online, and the option to study full or part time, on-campus, online or a blend of both it&#39;s all about flexibility.Course duration: 1.5 years full-time, part-time options available

Become an in-demand expert in data and insights. You’ll expand your analytical skills, explore new technologies, and build on communication techniques. Deliver tailored business solutions. Endorsed by the International Institute of Business Analysis.

Learn to use data to make informed business decisions. A Bachelor of Business majoring in Business Analytics will include building foundational programming skills for business analytics and developing knowledge on the business context and various applications of analytics in a range of business scenarios. Business analytics is an exciting and emerging discipline that combines technology-related skills with business acumen.The business analytics major will provide you with practical hands-on experience working with the latest technologies in data analytics. The major will develop skills in programming, data modelling, data analysis, data visualization and data storytelling within a business context.  With a focus on analysing data in a business context, the major will equip you with the skills needed to thrive in today’s data-driven world.

Choose a business degree that empowers you with one of the most important skills in business today: data analytics. Graduate with skills that put you at the forefront for tech-driven roles. Learn how to make business decisions based on data.

Bachelor of Business (Business Analytics)

Future-proof your career with a Bachelor of Business. Delivered 100% online, customise your degree by choosing majors, minors, and courses to develop digital, hybrid skills and tackle the future of work.

Pursue a successful career in business that aligns to your professional aspirations. Complete core business subjects, then choose a major that suits your interests. With final subjects including internship and portfolio, you’ll graduate industry-ready.

Bachelor of Business

Digital technologies are an integral and growing component for competitive advantage and effective business operations in the global marketplace. Managers and analysts require the skills and knowledge to leverage a professional profile in the increasingly pervasive digital economy. The era of digital business puts much greater emphasis on data-orientated tasks that enable business to measure, track and analyse business outcome in real time to support evidence-based decision making. These tasks feature data collection, some empirical data analysis and some strategic thought about the implications for business outcomes. There is a growing demand for skills that enable Business workers to harvest, analyse and develop strategic and timely Business insight from data trends. Many Businesses and public agencies are struggling with developing actionable Business intelligence based on the data available to them. Google nowadays processes over 40,000 search queries every second on average which means over 3.5 billion searches per day and 1.2 trillion searches per year worldwide. The next question is: what to do with this data? A knowledge of business analytics bridges the gap between data specialists and decision makers. It offers students a unique opportunity to place themselves at the forefront of the business decision-making process as they acquire a &#39;common language&#39; understandable by both data scientists and business management. Through this program, students will develop solid intelligence in data usage, quantitative methods, business &amp; management analytics.

Learn to make sense of business data and you’ll make better business decisions. You’ll explore how to transform data into useful information. Topics include big data and business intelligence systems. Give your business the competitive edge.

This course is designed for those who want to pursue a role in Business Analytics, as well as business professionals who want to improve the quality of decisions in their business areas. Students will be exposed to a range of relevant theory, knowledge and approaches to develop and enhance their conceptual and practical understanding of data analytics in business areas such as human resource management, marketing and supply chain management. Students will be given opportunities to work with a range of Business Analytics tools to identify patterns and trends in complex data sets, and to visualise them in meaningful ways.

Help businesses use data to drive strategy. You’ll gain knowledge in data analysis and visualisation to apply to your current or future analyst career. Focus your learning within the context of a business area, including logistics and marketing.

Graduate Certificate of Business Analytics

Business Data Analysis

Data Analytics Concepts

Business Intelligence

Strategic Financial Analysis

Data Analysis for Business

Analytics for Decision Making

HR Analytics

Business Analytics and Artificial Intelligence

Agile Methods for Business Analysis

Disruption in Business

Please note: This subject has replaced AFE134 - Business Statistics.
This subject teaches the basic tools in statistics and computing. It examines areas such as business statistics, statistical inference, hypothesis testing with reference to business problems, construction of index numbers, correlation and forecasting based on regression analysis. It also provides hands-on experience in data analysis and interpretation using Microsoft Excel 2010. Assessment is based on graded online quizzes, a project using Microsoft Excel and a final examination.
This subject requires 10 hours per week time allocation for students to complete all required activities - reading the topic notes and the relevant chapters from the textbook, viewing the lecture recordings, completing homework problems, practising online quizzes and practising data analysis on Microsoft Excel. Please note: This subject has replaced AFE134 - Business Statistics.

Learn how to use statistics to tackle real business problems. Get hands-on experience with Microsoft Excel, and theoretical knowledge of probability and inference. Work with data, learning to summarise and present stats graphically and numerically. 

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as performing scenario analyses and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

Get up to speed with basic data analysis using SQL and Excel. You’ll delve into the data analytics concepts and processes used in business today. Find, present, and explain data trends. Solve complex business problems.

The use of data in management decision making is essential for organisations of all sizes to be able to uncover and respond to opportunities and threats. The fields of business intelligence and analytics (including data mining) have consistently been top investment priorities, and with the new capacities of self-serve, visualisations and cloud-based (web-based) technologies, organisations are becoming even more information rich. The course explores how professionals can use information systems and business intelligence to conduct an analysis of business operations and performance for enhanced decision making. Be introduced to concepts, processes and technologies in business intelligence and business analytics, and learn to use selected analytics, to interpret solutions for business-related problems and provide relevant business advice.  This is a great course for those who have not had experience with business intelligence, and who don’t come from a technical background.  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 second-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.

Make better business decisions using analytics and information systems. You’ll explore key analytics tools and methods. Gain the competitive advantage with reliable business intelligence. Identify opportunities, optimise processes, and drive profitability.

BEA140 Data Analysis for Business is a foundation unit in business statistics and the mathematics of finance, and is a core subject in the Bachelor of Economics (BEc) and Bachelor of Business (BBus) degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.This subject is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The subject also includes an introduction to the basic use of tools such as Excel as an aid to analysis and presentation. The focus of the subject is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.The subject is an introduction to the exciting world of applying mathematics and statistics to business problems. By studying a variety of examples based on real world problems, the unit highlights the application of quantitative methodologies to assist managers and decision makers in dimensioning and communicating risks and opportunities.

A business statistics course that covers the mathematics of finance. You’ll learn about the statistical process and get hands on with basic tools. Use data practically to solve real-world problems in economics and business.

This unit aims to develop and enhance students&#39; conceptual and practical understanding of data analytics and artificial intelligence in the contemporary business context. Students will have an opportunity to immerse themselves in problem-solving activities requiring lateral and critical thinking by exploring structured and unstructured data, considering and applying the appropriate analytic and artificial intelligence techniques using a software programming environment for statistical computing (such as R) and visualisation tools and approaching organisational problems through data-driven decision-making processes. Further, students will learn fundamental concepts, key techniques and popular tools in artificial intelligence and how it is applied in business and industry.

Learn how to use AI to unlock data for business success. You’ll build on your programming knowledge as you explore statistical computing and visualisation tools. Use machine learning to problem solve and develop business solutions. 

This subject will develop analytical capabilities, equipping students with knowledge about basic data analysis to derive essential information from numerical, textual and visual datasets. As consumers and producers of data, students will learn about data management and security practices, as well as developing an understanding of legal and ethical issues relating to the collection and use of data. Students will develop their analytic capabilities by understanding and interpreting a range of data types including macroeconomic data, which will be used as a base case study where students will examine how macroeconomic conditions affect business decisions across a variety of disciplines including marketing, management, and finance. Students will have the opportunity to personalise their learning experience as they examine case study data sets relating to a range of business disciplines including economics, marketing, human resources and finance. Students will also develop skills to effectively communicate the results of their analysis to an audience and recommend business actions from a considered range of alternatives.﻿If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.Find out more about the Academic Integrity module.

Learn how to collect and use data for commerce. You’ll learn how to analyse datasets, communicate your results, and make data-informed recommendations. Use business software. Unpack legal and ethical issues. Relevant to HR, finance, economics and more.

HR analytics is the process of collecting and analysing HR data to improve an organisation’s workforce. In this course, you’ll learn how HR data can be used to measure how HR initiatives are contributing to the organisation’s goals and strategies. Learn the basic concepts, processes and tools that are used to identify commonly encountered HR issues. Gain the skills to evaluate information using basic statistical analysis. You’ll also explore ethical issues and future trends associated with HR analytics. 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 HR 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.

Harness the power of data for effective decision making in human resources. This specialised study within human resources management covers data analysis and statistical tools. You’ll also explore the ethics of using employee data.

Financial statements are used widely by professionals in a large range of positions and industries. Analysts use financial statement analysis to rate and value companies, investment bankers utilise it for buyouts, mergers and acquisitions, and a wide range of consulting professionals require them to competitively analyse their clients’ past performance and prospects. This course is designed to improve your conceptual grasp of the role and practical application of financial statements in business analysis. Learn about valuation, credit assessment, strategic decision-making, and assessment of corporate governance and regulatory compliance. 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 Financial Planning 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.

Unlock the power of financial statements. You’ll learn how analysts and financial professionals assess and value businesses. Work towards clear and accurate snapshots of companies’ financial performance.

This unit enables students to stand out as effective business analysts in agile software development and implementation teams. Students learn how to apply agile methods and problem-solving tools and techniques that assist in the analysis of complex, socio-technical problems which typify the nature of organisational information systems, and the work of business and information analysts. Drawing on real-world cases, the unit encompasses the technical, social and human dimensions of information systems problem solving. The value of uncovering multiple perspectives and multiple objectives, that are likely to exist in complex problem situations and which could impact agile information systems projects, is also analysed.

This subject provides an introduction to quantitative methods that can be used in industry. You will acquire advanced spreadsheet and database modelling skills. The subject will introduce static and dynamic models of supply chains and logistics systems. Specifically it will apply transport and transhipment models to optimise supply chains.
The subject will enhance your appreciation of logistics and the usefulness of mathematical and statistical models in solving logistics problems. You will learn to think systematically about the fundamental processes involved and to evaluate the performance of a supply chain as a system. You will also develop your critical thinking skills to the point where you are able to deliberate on contemporary issues in supply chain management.

Optimise logistics and distribution practices using state-of-the-art practices. 
Advance your spreadsheet and database modelling skills. Simulate real supply chain challenges. Wield mathematical and statistical models to work out logistics issues.

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