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Home / Blog / Data Science / Data scientist vs Full-Stack developer: Which is better?
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 18+ 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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Software and computer programming are currently expanding at an exponential rate. The success of computers and computer programs is witnessed and enjoyed by every possible field in this century. Saying that computer science has revolutionized every sector that there is would be an understatement. Currently, the realm of computer science is brimming with abundant opportunities and the impact of its applications is well understood now. Hence opportunities and challenges are both increasing, and the world awaits to witness more advances in the field of computer science.
Web development is one such important application of computer science handled by a Full- Stack Developer. Further, Data Scientists are the people who work towards analysing data for producing informed business decisions.
Computer science is the heart and soul of all these sectors. Hence it is imperative for a Data Scientist and a Full-Stack developer to be adept at mathematics, computer science, and statistics. So the essence of both jobs lies in computer science, but how are they different from each other? How does a Data Scientist differ from a Full-Stack Developer?
A Full-Stack Developer is responsible for developing both the front end and the back end of a website. The front end refers to what the user views and interacts with on the website and the back end refers to the page that is not visible to the user. It is important to understand that the back end is important as it stores the data and is also responsible for data processing. Engineering websites, software, and other components of a business are the objectives of a Full-Stack Developer.
According to the 2022 Stack Overflow survey, 47% of all professional coders are Full-Stack developers. Front-end web development involves working on improving the layout of a website, text, colours, fonts, buttons, and everything visible on a website. A front-end web developer needs to be adept at working with HTML, CSS, and JavaScript. Being well-versed in these languages will ensure their ability to manipulate the outlook of a website.
Back-end web development deals with coding associated with behind the hood web development that is not visible to the audience. But the backend coding will also have an impact on the website outlook. Backend developers make use of databases like relational (like PostgreSQL and MySQL) and non-relational management systems (like Mongo).
The front end is also called client software and server software is known as the back end. So a Full-Stack Developer is responsible for working with both frontend and backend development. They must possess paramount knowledge of both software to reach their objectives. Click here to learn Data Science Course in Pune
In India, the salary ranges between ₹ 2.1 Lakhs to ₹ 16.2 Lakhs with an average annual salary of ₹ 6.0 Lakhs.
A Data Scientist is somebody who is skilled to analyse and understand data and give meaningful insights regarding the analysed data. This enables organizations to take informed decisions for improving their business. They are analytical experts. They are skilled to have the technical knowledge to solve real-life problems. The importance and impact of Data Scientists were only realized in the last few decades. Hence Data Scientists are now omnipresent. They can provide their insights and work in every possible industry.
Soon after the importance of big data was realized, the importance of Data Scientists was realized. Collection, analysis, and interpretation of data to produce data-driven decisions are the key objectives of a data scientist. It is imperative for a data scientist to be proficient in computer science, mathematics, and statistics. They will explore the various features of advanced analytical techniques like machine learning, predictive modelling, etc. Click here to learn Data Scientist Course in Chennai
Data Scientist's salary in India ranges between ₹ 3.8 Lakhs to ₹ 26.0 Lakhs with an average annual salary of ₹ 10.0 Lakhs.
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