Top 3 Myths about Big Data Analytics


With growing smartphone penetration, a massive amount of data is being generated every hour. Organisations world over have realised the significance of incorporating data-driven insights into their business to make profitable decisions and get a competitive advantage. As a result, the field of big data has emerged as one of the most promising job fields. 

Brands from different industries and sectors are on the constant lookout for competent big data professionals. However, there is a lot of excitement and confusion about this booming field. The write-up indents to bust top 3 myths so that you can ultimately decide whether to pursue a big data analytics course or not. Read on!

Myth: You need to be a mathematical geek

There is a buzz about big data courses that it is a field for maths manic which is not completely true. Although a big data analytics course requires candidates to have a basic understanding of statistics and probability, they do not have to be an expert of the same. There are some algorithms and predictive modelling techniques that use these mathematical concepts, but it does not mean that you will have to study them in-depth. 

Myth: It is all about learning a programming language

This one is far from reality. A big data analytics course comprises of different subjects and technologies. For instance, if you think that learning python is all you need to excel in the field, you are wrong. 

Myth: You need to have a computer science background

It is true that big data analytics courses require you to have an understanding of computer science, mathematics, and statistics, but it does not mean that aspirants from other backgrounds cannot pursue it. there is no dearth of professionals who come from a non-computer science background.

Although people with a computer science background will have an edge, that would only matter in the earlier phases as you may find them getting things a little quicker than you. However, as you gradually move from basic to advanced concepts, it gets equally challenging for all. All you need is dedication and focus and things will get easier for you.
So, these were top 3 myths about big data analytics courses. To pursue this course, make sure you choose a reputed institution to receive a quality education.

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