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

We’ve partnered with leading analytics platform Tableau to provide you with the industry-relevant experience you need to excel as a data analyst. This bootcamp equips you with practical, hands-on skills and is informed by world-renowned data experts.Data analysts interpret complex data patterns and use that information to make valuable business decisions.Since we’re in the age of analytics, the need for skilled data analysts is only predicted to skyrocket, with a 27.7 per cent job increase expected in the next five years.Swinburne Online’s Graduate Certificate of Professional Data Analytics is designed with industry mentor Tableau to ensure your skills are relevant to what employers are looking for these days. You’ll have the opportunity to work directly with industry experts and apply your skills to live projects.This course also offers you the opportunity to obtain the Tableau Desktop Certified Specialist certification. This industry-accredited qualification will demonstrate your advanced abilities to the market so that you can enjoy greater job security, higher salaries and new job opportunities. The Graduate Certificate of Professional Data Analytics will help prepare you for the exam, and at no extra cost.Swinburne’s employment-driven bootcamps are formal postgraduate qualifications in an in-demand field.

Spend 6 months studying data analytics for business and excel as a data analyst. Gain hands-on skills with Python and data visualisation tools. Developed in collaboration with Tableau, this course includes the chance to prep for certification.

Graduate Certificate of Professional Data Analytics

Business Analytics and Artificial Intelligence

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 was previously known as Business Intelligence.
This subject covers issues relating to deriving intelligence from various data sources for decision making purposes. Students gather skills to drive improved decision making process for senior management based on understanding data. Students will know the importance of understanding the short and long term goals of the organisation and how these impact the decision making process. Student will use tools that enable data analysis, predictive analytics, data visualisation to assist in the delivery of delivering real-time actionable intelligence.

Get data smart. Source intelligence from diverse data supplies to help senior management make decisions that solve major commercial problems. Use analysis, predictive analytics, and data visualisation tools to generate key data insights. 

Business Intelligence and Data Visualisation

Swinburne University of Technology Data analytics Subjects | Open Universities Australia

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