It is now very clear that data science is one of the fastest growing fields in this country and in this world. In simple words data science is nothing but applying a lot of different concepts and ideas to solve basic problems. There are a lot of problems that we may encounter during our lives. These problems might be related to business or to technology.
So, data science is used to solve various real life and theoretical problems easily using optimal ways so that the resources consumed are very less and it produces output in a very efficient way. Imagine yourself as a manager of a big business firm or an IT company. Obviously you have a lot of data in the form of feedbacks, databases about at the user information, current traffic on your website and whatnot. It is very clear that such large amount of data cannot be handled by you only and you obviously need a data scientist who can optimize the data and gain something useful out of it. That is the job of a data scientist. Data scientists are in a lot of demand nowadays and it has already been said in the newspaper that being a data scientist is the sexiest job of the 21st century.
Prerequisites for being a data scientist
Once you get into the field of data science it becomes very important to master each and every concept of it. Hence there are few things that need to be good at in order to be good at data science. The first and foremost thing is that you need to be good at programming. It’s good if you start with Python and slowly master the R language. Apart from this you need to be good at mathematics and business statistics. But if you are not good at one or more among these things, it does not mean that you cannot be a good data scientist. You can choose your specialization in data science corresponding to the field you are good at, and then you can slowly improve your command over other concepts as well. Also, there are a few softwares like the Hadoop software that you need to be familiar with in order to be a good data scientist. Institutes which train students for being data scientists especially focus on these domains of programming languages and the software known as Hadoop. You also need to be having a good command over software like Microsoft Excel where you need to constantly input data, analyze it and then get the output in the desired manner.
Limitations of Data Science
Data science Certification for Managers is on the top of the trends today. Every other engineering graduate wants to be a data scientist. Hence there is no dearth of opportunities in data science yet there is lack of sufficient data that we must feed the computer with in order to make it learn. It will then apply the same concepts in the unsolved problems and solve them accurately on its own.
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360DigiTMG – Data Science, Data Scientist Course Training in Bangalore
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