![]() Our learning content is purpose built for online study and our curriculum is divided into easy-to-follow units. RMIT Online can get you up to speed, no matter your level of experience. If you’re not familiar with number-crunching, you’ll need to learn SQL (Structured Query Language), some Microsoft Excel basics, plus statistical programming languages like R or Python. Learning Data Analytics does require some technical training. How to learn Data Analytics for beginners Transport Logistics Specialist | $71,000.There are plenty of options for the skilled Data Analyst. There’s hardly an industry on Earth that doesn’t benefit from Data Analytics, and the qualification can open a lot of doors. It’s a field that’s trending upwards, both in terms of demand and salary expectations. Data Analytics has a job satisfaction of 4.0, according to SEEK, with healthy projected growth over the next five years. Why learn Data Analytics? There’s a bunch of reasons. You can use your skills to become a Data Analyst, of course, but you can also be Data Engineer, UX Designer or Digital Marketing Manager. In Data Analytics, you’re not bound to work in a particular industry, or even a particular role. ![]() Once you’ve got some basic knowledge of Data Science, Python coding and predictive analysis, you’re ready to go. 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. Data Analytics is all about finding meaning in numbers.
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