Big Data Analytics Jobs

What is the Importance of the Qlik Certification in Today’s Job Market?

We all know that data scientists are in high demand. In fact, Amazon says that job opportunities for these experts have grown by 505% over the last 5 years. With the Internet of things producing more data than ever before, it’s easy to see why all organisations want people who can make sense of big data to drive them to success. But what does this mean for market researchers? Can data science really replace them all together? Per Statista, the big data market is growing rapidly, with $42 B USD revenues in 2018 and a massive increase to an expected $1.89 B in 2019. Corporations are adopting new technologies to help manage integration and draw insights from big data. In the telecommunications industry alone, around 94.5 per cent of respondents representing the telecommunications industry stated that their organization currently used big data technology as of 2018.

The market researchers are still essential in understanding the context of the information provided by data scientists, and to interpret the ‘what’ from the ‘why’. Ben Page, chief executive of Ipsos MORI goes on to explain how observational research is still essential, using a real-life study conducted for a global pet food manufacturer as a case in point.

Prevailing Myths About Analytics Career

While reading to many blogs and question answer in many communities, what I keep encountering is the common question which is actually a myth about an Analytics Career. There are many aspirants may be dropping the idea of becoming analytics experts. So here we will discuss and try to find out the truth. So let us start. Here are some the myths I gathered to take on them:

You need to be an engineer to start a career in Business Analytics:

The truth is that you don’t. All you need is the ability to think structurally and comfort with number crunching. As long as you can put structure to unstructured problems and perform back of the envelope calculations, you are as good as any analyst out there. Having said that, companies prefer people from a quantitative background as they are expected to be better with numbers. By quantitative background, I mean people from any of these disciplines: Engineering, Economics, Maths, Statistics, Physics or MBAs with graduation in these fields.

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