There are lots of Data Analytics for Beginners courses out there ( RMIT Online has several). Jumping into Data Analytics isn’t as hard as you might think. Data Science and Analytics also rate incredibly high for job satisfaction: in fact, working with data has been America’s top job three years in a row. In 2012, Harvard Business Review named Data Scientist the “sexiest job of the 21st century”. It’s covetedĪnalytics is a highly coveted, competitive field. All of this points to Data Analytics being a secure, long-term profession. Data careers have grown 650% since 2012, and SEEK is projecting another 12.9% growth over the next five years. The truth is, tertiary institutions can’t train Data Analysts fast enough. Australia also has a well-documented Data Science skills gap, which gives new graduates a strong market position. The average salary for Data Analysts in Australia is $94,000 per annum, according to Indeed. Here are just a few careers that draw heavily on Data Analysis:ĥ Reasons To Become A Data Analyst It’s a growth area Data Analytics is also a broad, practical skillset. For one thing, it’s in demand: 75 per cent of Internet of Things (IoT) providers consider Data Analytics to be an essential skill, and 68 per cent of them are struggling to find employees with relevant experience. There are plenty of reasons to become a Data Analyst. (Broadly speaking, Data Science is the umbrella term, while Data Analytics is a more specialised discipline). There’s a bit of overlap between the fields of Data Science and Data Analytics. ![]() How can our business improve efficiency? Where are our marketing dollars best spent? What are our customers interested in? What frustrates them? These are some of the questions Data Analysts try to answer. Without Data Analytics, all those numbers would be essentially meaningless – digital white noise – but Data Analysts can interrogate data to find useful insights. And that’s because we generate a truly staggering amount of data: approximately 2.5 quintillion bytes every single day. ![]() It’s fair to say the world has never needed Data Analysts more. Data Analysts comb through huge amounts of raw statistical info, finding patterns, analysing trends and testing theories. Technically it’s the process of examining data sets to draw conclusions and help businesses make better decisions. ![]() Find out if you qualify by registering your interest below.Data Analytics is all about finding meaning in numbers. Course Durationįunding is available for qualifying companies. She holds a PhD in Operations Research and has experience in optimisation and decision analysis. Anna has collaborated with many industrial companies and has gained more than 15 years experience in applied operations research, and manufacturing system modelling and optimisation.Īmanda Fenerich is IMR's Junior Data Analytics Researcher, with background in Manufacturing Engineering. She holds a BSc in Management Engineering and a PhD in Manufacturing Engineering. Facilitator ProfileĪnna Rotondo is a Senior Data Analyst at IMR. It is suitable for professionals interested in learning how to best visualise data and create charts in a business intelligence platform (Tableau or PowerBI). This course is targeted to an audience with no or limited experience in data visualisation. This course will introduce data visualisation at a glance, with a practical hands-on module (using a data visualisation software).Īt the end of this course, we expect the audience to be able to know, understand and be familiar with:Ī) The historical perspective of Data Visualisation ī) The value that Data Visualisation offers to analytics Ĭ) What makes a good design for data representation Į) How to perform basic data visualisation in PowerBI or Tableau
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