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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
The data scientist is said to be eligible for a job if he/she has the right and the required skills and the knowledge base. From the point of view of perspectives involved in data science, it consists of two sides:
• One is Technology side which is further related to the understanding of the programming languages like R, Python, SAS etc. And also includes the detailed knowledge of handling the algorithms specifically to apply them in machine learning, Artificial Intelligence etc.
• The other is the statistical side which is related to handling the statistical tests like Chi-square test etc and data distributions. This also includes writing the algorithms for machine learning etc.
Generally, the individual should choose a specific perspective from the two given above while pursuing data science. Someone who wants higher studies in the field of statistics pursues the statistical side of data science.
Someone who has interest and love to work in the technological world, as it offers room for experimentation and innovation, opts for a technological perspective.
NO DEFINED ROADMAP FOR DATA SCIENCE
There is no defined right path or a road map that one can choose while pursuing a career in the field of data science. This usually involves upgrading your skill set from time to time so that you are able to handle and able to handle more advanced and smarter tools and methodologies that are designed from time to time. You have to get your hands dirty with the data and the practice.
TRY TO PRACTICALLY IMPLEMENT YOUR LEARNING
Gaining knowledge will be of no use if you do not apply your theoretical knowledge practically. Now the question may arise in your mind how can this be done?
This can be done by working on various projects that will guide you on how to handle the data in the corporate world. It provides you with hands-on experience in dealing with the big data that is generated on a daily basis. This will further help you to get a better and 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 as well, then only you will love to interact with the data and algorithms, otherwise you will be the one like others in the middle should stop because it is highly challenging. Those who get attracted by the high job prospects and the attractive 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 these skills require the individual to put his heart and mind into learning them and more importantly the numbers and coding should excite you.
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