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How Long Does it Take to Learn Data Science?
Meet the Author : Mr. Bharani Kumar
Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
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Being one of the top-ranked professions, the fascinating field of data science is getting attention in every part of the world. There are two main reasons behind it; shortage of skilled data scientists as well as one of the highest pay packages. Other than that, it is offering millions of employment opportunities every year which one cannot find in any other profession.
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Data science is a fascinating blend of multi-disciplines like Machine learning, Statistics, some programming languages, computer science, math, and coding, etc. With the help of these learned skills, a data scientist uses state-of-the-art techniques to produce actionable results from unstructured data.
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Companies take data-driven decisions with the help of actionable results being provided by data scientists. Other than that, a data scientist tries to predict patterns and user behaviors with help of data that is lying in front of him and modern techniques. These predicted patterns help business companies to make such products that can easily attract the focus of common individuals which ultimately increases their productivity.
Because of all these pivotal benefits being provided by skilled and well-trained data scientists, companies need them. So, pursuing a career as a data scientist would be a very useful decision an individual can make in this decade.
Since a data scientist is supposed to learn or at least understand the basics of several skills, it is often understood that learning all of them would take a sufficient amount of time which is a false notion. So, we have written this article to help such individuals who are thinking about how much time will it take to learn data science and what they do need to learn.
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Let’s begin.
What do You Need to Learn?
First of all, an individual should understand that he must have an educational background. Being a multidisciplinary blend, data science is not a field for everyone. One is required to be very deterministic and passionate if he truly wants to be successful in this mind-boggling field.
By having an educational background, a data science aspirant comes in a better position to learn all other necessary skills and to get the job. It is recommended usually to get at least a bachelor’s degree in either IT, Physics, Mathematics, Computer Science, or any other relevant field. Almost 73% of the currently working professional data scientists do have a graduate degree and 38% of them are Ph.D.
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Getting a graduate degree in the recommended programs is very necessary since it will teach an individual some veryprominent data science skills that are necessary to produce beneficial results for the business associations. Mathematics or Physics educational programs are usually suggested since they are capable of teaching analytical skills that are of considerable importance. Other than that, there are some other skills too which one is advised to learn. Some of the most prominent data science skills are
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Programming Skills:
It is very essential to learn some prominent programming skills because they are much needed in this field. Some suggested programming languages are SQL, Python, and R, etc.
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Statistics:
A solid and conceptual understanding of mathematical approaches is very necessary to develop required analytical skills.
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Machine Learning:
Usually, machine learning is recommended for such individuals who are working in companies like Google that make data-driven products.
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Data Wrangling:
It helps an individual to tackle and analyze tons of raw data whether it is structured or unstructured.
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Data Visualization:
Because of the data visualization skills, one learns how to properly present the data.
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Communication Skills:
Without having sound communication skills, one can never be able to achieve success in his life.
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How Much Time Will It Take?
Being a hard worker and persistent is extremely necessary for an individual who is seeking success in this fascinating field. Since getting an educational degree is the main requirement of this field, one should enroll in the BS Physics or Mathematics which is four years long. We think this should be more than sufficient time for any data science aspirant to learn all of the skills which we have mentioned before. While getting an educational degree, one should join some online courses to learn the required skills. It will save him time.
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