The profession of a data scientist has gained a widespread popularity and growth in the past few years. With time, the requirement of data scientists has only increased in the industry. As a result of this, more and more people have set out to become data scientists.
Along with an insight into the profession, here is how to become a data scientist.
Basically, the role of a data scientist is to apply their skills in statistics and data modeling to turn data into a useful insight for various platforms like product development to business opportunities. A data scientist should possess an unique combination of analytical, presentation, and technical skills.
Apart from an in-depth understanding of statistical and applied mathematics, data scientists also have to be well-versed with programming.
#1. The Basics
Before you set out to become a data scientist, it is imperative to have some basic understanding of disciplines like multivariable calculus, linear algebra, and Python. With a strong mathematical background, your way to becoming a data scientist gets quite easier.
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#2. Skeptical Reading
It is imperative for a data scientist to have the ability to tell if the piece of information is authentic or plainly misleading. If you are aiming to become a data scientist, it is important for you to have an eye for detail.
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#3. Build A Network
You can also learn a great deal from various online communities like Meetup. Not only do you get to know the people with similar interests, you can actually have meaningful conversations here which could help you become a data scientist.
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#4. Learn How To Use The Tools
In order to become a data scientist, it is also imperative that you are well-accustomed with the tools that are required for your work. These tools may include highly-complex software like Python, RStudio, Sublime Text, and SQL. It is also imperative to have a fair amount of knowledge about probability and statistics.
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#5. Take Up A Course
Taking up courses will help you to a great extent if you want to become a data scientist. Prestigious universities like Harvard have been known to offer reliable informative courses on Data Science. Courses like these will only facilitate your career as a data scientist.
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#6. Data Science Electives
Data science is quite a vast field having a wide number of disciplines. These disciplines may require a different set of skills altogether. Some of these disciplines may include feature engineering, machine learning, natural language processing, optimization, and user behavior, to name a few.
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#7. Take Up Projects
When you think you have a hold on basics of data science, and you need to put your skills into practice, it is highly recommended to begin working on different side projects. While freelancing is an option, you can also try initiating up a project of your own.
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#8. Internships And Jobs
Well, taking up internships and job is what helps you even more in putting your skills of data science into use. You may end up with a sense of direction when you deal with various tools while working or interning as a data scientist. Moreover, the challenging jobs and internships will only make you grow as a professional.
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#9. Presentation Skills
For a data scientist, it is equally important to be able to effectively communicate all the important details from a particular data. In fact, the role of a data scientist in a company is to serve as a connecting factor between the data and the company.
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We would love to hear from you on the role of a data scientist. Kindly use the comment box to share your thoughts and opinions with us.
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