How Important Are Coding Skills In Comparison To Math Skills The Right Pathway To Become A Data Scientist: Guidelines To Be Kept In Mind

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

THE PERSPECTIVES INVOLVED IN THE FIELD OF DATA SCIENCE

Data Scientist is said to be eligible for a job if they have the right and required skill sets and knowledge base. From the point of view of the perspectives involved in data science, it constitutes two sides:

• One is the technological aspect which is also related to the understanding of programming languages ​​such as R, Python, SAS, etc. And it also includes the detailed knowledge of handling the specific algorithms to run them in machine learning, artificial intelligence, etc.

• The other is the statistical side that relates to the treatment of statistical tests such as the 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 from the above two. Anyone who wishes to pursue higher education in the field of statistics pursues the statistical side of data science.

Anyone who is interested in and loves working in the technological world, as it offers a space for experimentation and innovation, opts for a technological perspective.

IT HAS NOT DEFINED A ROADMAP FOR DATA SCIENCE

There is no set right path or roadmap that one can opt for while pursuing a career in the field of data science. It usually involves advancing your skills from time to time so that you are able to handle and be able to cope with more advanced and intelligent tools and methodologies that are designed from time to time. You need to get your hands dirty with data and practice.

TRY TO IMPLEMENT YOUR LEARNING IN PRACTICE

Acquiring knowledge will be of no use if you do not apply your theoretical knowledge in practice. Now the question may arise in your mind how this can be done?

This can be done by working on various projects that would guide you on how to deal with data in the corporate world. It offers hands-on experience to manage the big data generated daily. Also, it would help you to get a better and promising career in data science field.

Career in data science field requires detailed and deep knowledge of mathematics and statistics as well, then you will only love dealing with data and algorithms, otherwise, like others, you will also drop out midway . because it is very difficult. Those who are attracted by the high job prospects and handsome salary packages of data scientists can never have a promising future in this field because it requires analytical skills, mathematical or statistical skills, communication skills, visualization skills, etc. All of these skills require the individual to put their heart and mind into learning them, and more importantly, numbers and coding should excite you.

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