How to be a Data Scientist?

Welcome , First of all it is not a big deal to start the path of data scientist but yes , it is not easy , you must need hard work , passion , focus , dedication , and never give up .

Firstly, start with knowing what actually Data Science is? Why Data Science?And clear your point of view for being Data Science , You must sure why you are choosing this field and are you interested to work with or not?

Second , Start learning basic programming Languages which is necessary required for any computer field like , Python Programming Language , At beginning learn Core parts of languages and after being master in core part walk through advance part.

Languages and Technologies required for Data Scientist and Data Analysis are Python , R , SQL , Java , Hadoop , Scala , MATLAB , TensorFlow , etc.

The landscape of data science is evolving quickly, tools used for extracting value from data science have also increased in numbers. Learning any one of above-mentioned programming languages will kick off your data science career. Though, there is no specific order to this list of popular languages for data science, Python and R fighting for the top spot. However, having more than one language skills give you the versatility and competence as a data scientist.