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What is Data Science in Simple Words?

  • April 14, 2021
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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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What is Data Science in Simple Words in Bangalore?

Utilising the data is necessary if an organisation is to keep current with trends and outperform other businesses in the market.

Data is a valuable source of knowledge that enables organisations to solve a wide range of challenging issues and make wise decisions. Since data is now seen as the fuel of the future, it is transforming the way the world looks.

An organisation may use data to enhance its goods or services while also boosting income. It is also true that an organisation will be in a better position to explore several new and untapped opportunities the more data it possesses.

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But you should also be aware that without analysis, processing, and manipulation by a human, data is meaningless in and of itself. The miracle of data science has made all of this possible.

In order for even those who are utterly ignorant of the significance of the data science area in today's society to comprehend it, we will do our best to define data science in straightforward terms in this article. In addition, we'll talk about the several career routes in data science, the knowledge and abilities required to master the field, and the pay scales for various data science positions.

So, let's start this beautiful path of learning right away.

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What is Data Science in Simple Words?

If we try to understand data science in simple words, then it is all about studying data. But to study this data more effectively and gain valuable insights or knowledge from it, data science uses various modern tools, techniques, algorithms, scientific methods, and approaches.

Another definition of data science is that it is an interdisciplinary field that combines various fields of study like mathematics, statistics, physics, and computer science, etc to find hidden patterns from the data collected from various sources.

Data Science

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Why Data Science is Important?

Organisations are gaining extraordinary and limitless advantages from data science.

Every organisation that significantly relies on data is producing data at a rapid rate with each passing day.

Due to the fact that 2.5 quintillion bytes of data are currently produced every day from all corners of the globe and that this number is steadily increasing, it is predicted that by the year 2025, 463 exabytes of data will be produced per day.

Every organisation now considers data science to be essential, and with each passing day, they come to the realisation that they cannot compete in the market without it.

As a result of all of these factors, data science is an absolute necessity for every business, including the following:

  • Cybersecurity
  • Finance
  • Entertainment Logistics
  • Logistics
  • Banking
  • Transport
  • Healthcare
  • Manufacturing

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What are the Different Data Science Career Paths?

Data science is a very vast field in which multiple career paths are available for all types of learners.

Skills and education requirements for any of them are almost similar but not the same as the main task of data science experts is to analyze and process the data to find useful trends or insights.

However, they also predict the future using different machine learning algorithms or models and make strategies for that.

Here are some of the most popular, demanding, and lucrative career paths in the field of data science.

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Statistician
  • Database Administrator
  • Data Engineer
  • Data Architect

What are the Required Data Science Skills?

It is crucial to gain the following skills if you want to pursue a career in data science since there is a huge need for professional data science specialists, particularly for data scientists. These abilities will make you stand out from the crowd, facilitate your work, and dazzle interviewers.

  • Solving communication-related issues
  • Analysis and Manipulation of Data
  • Python and R programming for data wrangling and visualisation
  • Statistics and mathematics
  • Machine learning algorithms

What is the Salary of in-Demanding Data Science Job Roles?

Well, even in 2021, data science is a very lucrative career and the salaries of data science experts are very high. This is because there is a huge shortage of skilled data science experts in the market while the demand is high. Therefore, companies are paying data science, experts, well. Here are the average salary figures for some of the most popular data science job roles in Bangalore, according to PayScale.

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  • Data Scientists

    ₹388k/year - With less than 1 year of experience

    ₹986k/year - With 1 to 4 year of experience

    ₹2m/year - With 5 to 9 year of experience

  • Data Analyst

    ₹255k/year - With less than 1 year of experience

    ₹509k/year - With 1 to 4 year of experience

    ₹1m/year - With 5 to 9 year of experience

  • Data Engineers

    ₹395k/year - With less than 1 year of experience

    ₹926k/year - With 1 to 4 year of experience

    ₹2m/year - With 5 to 9 year of experience

  • Statistician

    ₹400k/year - With less than 1 year of experience

    ₹1m/year - With 1 to 4 year of experience

    ₹2m/year - With 5 to 9 year of experience

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    Data Architect

    ₹832k/year - With less than 1 year of experience

    ₹2m/year - With 1 to 4 year of experience

    ₹3m/year - With 5 to 9 year of experience

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