In no time, "big data" became a buzzword today in the world of technology. There is a tremendous scope in the field of big data, which is why the demand for people with big data skills is always prominent. Taking this into consideration, we have come up with a list of top 10 must-have big data skills that will help you to land a high-paying job. Have a look!
Being a newcomer in the data field, it is important that you are well aware of the fundamentals. Applying concepts such as machine learning, regression, etc, without having a fair understanding of the basics is of absolutely no use. Thus, the first and foremost important skill you'd require is to understand the basics of data.
One cannot imagine dealing with data without having any knowledge about statistics. All in all, statistics is the heart of data science. Certain concepts of descriptive statistics like mean, median, mode, variance, standard deviation, etc. are a must. You can always dive deep to get a better understanding of these topics.
Analytical skills are undoubtedly one among the must-have big data skills to land in a high-paying job. This is for the sole reason that big data involves dealing with complex data. Having analytics skills thus helps in this regard.
It is quite evident that data has absolutely no meaning to it unless it is transformed in a manner that it is possible to make better-informed decisions. This is exactly where data visualization skills come into play. One should be able to interpret the data in the best possible manner.
An expert in big data is one who has a fair understanding of the big data tools. This is because big data tools play a pivotal role in drawing insights from massive datasets that the organizations are left with.
Without a doubt, programming makes it to the list of top 10 must-have big data skills to land in a high-paying job. This is because the ability to code and conduct statistical and quantitative analysis in a pool of data is what data scientists are associated with. Simply put, knowledge of Object-Oriented Languages and data structures and algorithms can never go to waste.
As data is unstructured, big data is considered to be no less than a problem. Thus, the right data professional is the one who has an interest in solving problems and coming up with the best possible solution.
The big data industry has a lot to do with big data tools and technologies such as Scala, Hadoop, Linux, MATLAB, R, SAS, SQL, Excel, SPSS. Thus, there is always a demand for the ones who are familiar with these technologies.
Today, data mining is one of the most sought-after big data skills. Thus, one should not hesitate in taking steps to gain skills and experiences in technologies and tools of data mining in order to grow in their careers.
Irrespective of the number of tools and techniques you have your hands on, what is important is the ability to think your way through a situation. In other words, how creative you are to put forth the best possible solution to the problem matters a lot.
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