Data scientist vs Full-Stack developer: Which is better?

What is 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

What skills should a Full-Stack Developer possess?

• Proficiency in languages like HTML, Javascript, CSS, and other front-end programming languages.
• Knowledge of Python, Ruby, and PHP (backend programming languages).
• Ability to run Git and GitHub version control systems.
• APIs like REST and SOAP.
• Protocols such as HTTP.
• SQL, NoSQL, and JSON.
• Graphic design and web design skills.
• Ability to be creative, curious, and meticulous.
• Good at communication.
• Understanding programming languages and tools like Angular JS, Apache HTTP Server, AWS, CSS, Ember.js, JavaScript, jQuery, Laravel, Microsoft SQL Server, MySQL, Nginx, Node.js, PHP, Polymer, React, Ruby on Rails, Vue.js, etc.

What does a Full-Stack Developer do?

• Designing a website, social networking sites, etc.
• Building mobile-optimized websites.
• Creation and maintenance of databases and servers.
• Working alongside UX and UI designers and coding them.
• Communicating with data scientists and data analysts.
• Keeping up with current-day technology.

How much does a Full-Stack Developer earn?

In India, the salary ranges between ₹ 2.1 Lakhs to ₹ 16.2 Lakhs with an average annual salary of ₹ 6.0 Lakhs.

Who is a Data Scientist?

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

What are the relevant skills possessed by a data scientist?

• Proficiency in all phases of data analysis- business understanding, data understanding, data preparation, data cleansing, feature engineering, model selection, validation, and deployment.
• Ability to understand data warehouse and data lake structures.
• Adept at incorporating their statistical knowledge.
• Understanding proper machine learning techniques.
• Having an understanding of decision trees, K-nearest neighbours, naive Bayes classifiers, random forests, and support vector machines.
• Relevant understanding of qualitative and quantitative analysis techniques.
• Data mining techniques to enhance business processes.
• Understanding databases and big data platforms, public or private APIs, and standard data formats, like JSON, YAML, and XML.
• Experience with data visualization tools like Tableau and Power BI.

What does a data scientist do?

• Gathering, preparation, and analysis of relevant data.
• In-depth analysis of data so decisions can be made.
• Figuring out the trends, patterns, and relationships in the given available data.
• Creation of dashboards, data visualizations, models, etc.
• Communicating their results with the respective heads.

Salary of a data scientist:

Data Scientist's salary in India ranges between ₹ 3.8 Lakhs to ₹ 26.0 Lakhs with an average annual salary of ₹ 10.0 Lakhs.

To sum it up, here are the key differences between a Full-Stack Developer and a Data Scientist:

• Web development is the objective of a Full-Stack Developer while data analysis is the objective of a data scientist.
• Full-stack development came into existence in the 90s while data science was officially launched in 2008.
• Python is used for analysis in data science and website development in Full-Stack development.
• Statistics is used in data science but not in Full-Stack development.
• Full-stack developers deal with the company's information while data scientists work with data that is available.