The Right Pathway To Become A Data Scientist: Guidelines To Be Kept In Mind


The data scientist is said to be eligible for a job if he/she possesses the right and the required skill sets and the knowledge base. From the point of view of perspectives involved in data science, it constitutes two sides:

• One is Technology side which further relates to the understanding of the programming languages such as R, Python, SAS etc. And also includes the detailed knowledge of dealing with the algorithms specifically for running them in machine learning, Artificial intelligence etc.

• The other is the statistical side which relates to dealing with the statistical tests such as Chi-square test etc and data distributions. It also includes writing the algorithms for machine learning etc.

Generally, while pursuing data science the individual has to select a particular perspective out of the two given above. One who wishes to have higher studies in the field of statistics pursue the statistical side of the data science.

One who has interest and love working in the technological world since it provides a room for experimentation and innovation opts for a technological perspective.


There is no defined right pathway or a roadmap that one can opt while pursuing a career in the field of data science. It usually involves advancing your skill sets the time to time so that you are able to handle and are capable of dealing with more advanced and smarter tools and methodologies which are designed time to time. You need to get your hands dirty with the data and the practice.


Gaining knowledge will be of no use if you are not applying your theoretical knowledge practically. Now the question might arise in your mind that how can this be done?

This can be done by working on various projects which would guide you on how to deal with the data in the corporate world. It provides you hands-on experience to handle the big data generated on a daily basis. It would further assist you in getting a better and a promising career in the field of data science.

The career in the field of data science requires a detailed and an in-depth knowledge of mathematics and statistics too, then only you will love to deal with the data and algorithms, otherwise like other you will also be the one to quit in the midway because of the fact it is highly challenging. The ones who get attracted towards the high job prospects and the handsome salary packages of data scientists cannot ever have a promising future in this field because it requires analytical skills, mathematical or statistical skills, communication skills, visualization skills etc. All these skills require the individual to put his heart and mind in learning them and more importantly the numbers and coding must excite you.

Source by Shalini Madhav

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