Choosing a career is very much confusing in this tech-driven world where everything is connected to technology. After completing your graduation, the very first thought that comes into your mind is getting a job. This is where you question yourself as to which profession you should choose. You see the benefits like salary offered, career growth, etc. before getting into any domain. The profession that is considered the best and the most demanding one in today’s world is – Full Stack Development and Data Science. Also, these are one of the high-paying salaried jobs in India, On average a data scientist’s earning is  ₹14,00,000 per year while a full-stack developer earns ₹8,50,000 per year.
The debate on Full Stack Development Vs. Data Science: Which one to Choose? is continuing. Both have their advantages and require skills to get into it. But, do you know the proper way to get into it, or which field interests you more? In this blog, we’ll be talking about the skills required, the salary offered, and career growth in each domain. Let’s begin:
What is Full Stack Development?
Full Stack Development is the method of creating/building web applications. It is the blend of frontend (client-side) and backend (server-side) development. Apart from the front end and back end, you need to work on databases, APIs, and servers.
- Frontend development is the development of UI (user interface) by adding some elements (like buttons, images, links, etc.) and colors to your web page that attracts human to hover over your webpage. The front end is the face of the website, hence, it should be appealing, dynamic, and interactive which can be done with the usage of HTML, back end, and JavaScript.
- Backend development refers to the server-side development of the website where you need to handle the server-side rendering, data processing, etc. The backend processes the data, fetches it from the databases, and presents it to the UI.
Hence, collectively full stack development requires knowledge of programming languages, frameworks, databases, APIs, deployment methods, and a lot more to build an interactive and dynamic web application. A full-stack developer must understand the whole process of development to build a website. Full Stack development is a very high-demanding job in the IT industry and also pays you a handsome salary. Everyone in today’s tech-driven world wants to get into it. But do you know what are the steps required to become one?
Let’s read about the skills required, the salary offered, and the career opportunities of a full-stack developer in depth.
Educational Background of Full Stack Developer
If you want to become a full stack developer, doesn’t matter if you’ve graduated from a technical background, have a B.Tech degree, or not. what matters is you should have the will to learn and interest in full-stack development. The only thing is that if you have a B.Tech degree, that acts as a plus point while hiring in top MNCs.
But there’s another way also in which you can create an outstanding resume and that is through building some amazing projects of full stack development. By creating some projects, you get an idea of how to work and gain practical knowledge on building a web application, and also companies take that as a positive point.
Hence, to conclude, to become a full-stack developer, you should have an interest in full-stack development and should possess the required skills in full-stack development. You should have a good knowledge of programming languages (JavaScript, Python, C#, etc.), frameworks, libraries, and a lot more things. If you have a strong desire to get into full stack development all you need is a will to learn and the required skills, and that’s it, you’re good to go.
Read the article – How to become a full stack developer to understand all you need to know to become a full stack developer.
Skills Required to Become a Full Stack Developer
If you want to become a full stack developer, you need to have a blend of technical and non-technical skills. Some of the most important skills which you must definitely possess:
- Front-end Development: For front-end development, you should have a good command of HTML, CSS, and JavaScript. Frameworks like React, Angular, or Vuejs can be very useful while building a web application which helps you to efficiently build applications.
- Back-end Development: For back-end development, you can learn a programming language like JavaScript, Java, and Python. Frameworks like ExpressJS and NodeJS can help you to build it easily.
- Databases: Have a clear understanding and complete knowledge of databases like MySQL, PostgreSQL, MongoDB, or Oracle. You should know how to work with data storage and retrieval. Also, learning about servers adds a plus point.
- Version Control System: VCS is the system where you can store projects, manipulate, edit, undo, redo, and track changes. You can create repositories and store your projects there. You can change the version of a project, by editing the changes.
- Deployment: You should be familiar with server management and deployment tools such as AWS, Docker, and Kubernetes to deploy and manage applications efficiently.
- Problem Solving and Debugging: You must have strong analytical and problem-solving skills which will help you to manage projects in companies. Having these skills have a vital role in identifying and resolving technical issues during development.
There are a lot of in-demand skills to become a full stack developer which you must keep learning on. This way you’ll keep updating yourself with the required skills. Also, work on projects, build a strong resume, and try to learn and enhance yourself always.
Salary of a Full Stack Developer
There are various factors on which the salary of a full-stack developer depends upon. Some of the factors may include – such as the experience one has gained and the skills one possesses. Also, it doesn’t matter even if you’ve 3-4 years of experience or not, if you do not have the proper skills, you’ll be paid less. Let’s discuss the average salary of a full stack developer in India and abroad.
Career Growth/Future Scope of Full Stack Development
Before getting into any discipline, the very thing you should do is question yourself whether you really want to get into it, and do you have an interest in it, after you get a satisfying answer, you should definitely move towards full stack development. Full stack development is and will be the most-demanding job profession in the IT industry. You also get good pay as a full stack developer. According to research, full-stack development is the most-searched job profession on average, people search for.
Also, try to move with the latest trends developers follow in the particular technology. Companies like TCS, Mindtree, Tech Mahindra, IBM, Accenture, etc hire full stack developers in mass and also good salaries. Work on good projects, learn day-by-day and you’ll definitely see a growing phase in your career.
What is Data Science?
Data Science is the methods/algorithms followed to gather valuable information/data from a random data list. Businesses require data scientists in the decision-making process as they help businesses to grow in terms of having valuable data. The process which data scientists follow is data collection, data processing and cleaning, exploratory data analysis (EDA), data visualization, and implementation.
Industries like healthcare, finance, marketing, and various others use data science technologies to gather useful data and predict the outcome. This helps businesses to make quick decisions. Business, healthcare, finance, marketing, and many other fields all make use of data science. It makes use of data-driven methodologies to resolve complicated issues, enhance procedures, enhance decision-making, and find new opportunities.
Educational Background of a Data Scientist
The very first and most important thing you need to know is good command of Python. If you have a good command of Python, you’re good to start with a data science career. It’s the fact that companies do look for B.Tech graduates, but we can’t deny the truth that if you’re eager to learn and have the skills like working with data and a good command of Python, basic knowledge of Machine Learning techniques, you’ll definitely be hired as a data scientist with good pay.
You can just work on or sharpen your skills by learning them on a daily basis and working on some real-time projects which will definitely help you while working in big companies. Building projects give you a practical idea of how to work with data, just theoretical knowledge isn’t enough. If you have a technical background degree and have no knowledge of Python, then that won’t help you in the long run.
Thus, train yourself with the required skills and try to work on them on a daily basis and you’re a good fit for a data science career. Also read – How to Become Data Scientist – A Complete Roadmap
Skills Required to Become a Data Scientist
Want to become a data scientist? These below-mentioned skills will help you to get into this field:
- Programming Languages: You need to be proficient in programming languages like Python or R for operations like data analysis, manipulation, and model implementation.
- Machine Learning and Deep Learning: You need to have a good knowledge of machine learning and deep learning techniques. These techniques help you make quick decisions with predictive models.
- Statistics and Maths: You should have a good understanding of statistics and maths to perform operations efficiently. Concepts such as regression, probability, linear algebra, etc. are some of the commonly used ones in data science.
- Big Data: Be familiar with the tools like Hadoop, Hive, etc. to work on big data techniques. good for you to work with large datasets.
- Data Wrangling and Database Management: For database management, you should have knowledge of SQL, MySQL, etc which help you to manage data efficiently. Data Wrangling helps you to clean and preprocess data before analysis to have quality data.
There are a lot more skills that help you to become a data scientist and help you to stand out. Continuous learning, working on projects, and practical knowledge will help you to work with data efficiently and become a successful data scientist.
Salary of a Data Scientist
There are various factors on which the salary of a data scientist depends upon. Some of the factors may include – such as the experience one has gained and the skills one possesses. Also, it doesn’t matter even if you’ve 3-4 years of experience or not, if you do not have the proper skills, you’ll be paid less. Let’s discuss the average salary of a data scientist in India and abroad.
Career Growth/Future Scope of Data Science
The career growth of any profession also depends on the skills you acquire. But, in general, data science is a very interesting career and you get opportunities to explore and learn more. Companies like Wipro is the leading data science company that hires data scientist based on their skills. Just have a good knowledge of Python, and you’ll be able to excel easily in the data science profession.
The need for these specialists is growing as software and technology development move forward so quickly. Depending on your increasing skills and expertise, you’ll definitely see growth in your career.
Looking for a course which offers you quality study material and live projects to work on. We, at GeeksforGeeks have prepared Complete Machine Learning & Data Science Program which will help you in building live projects while learning the concepts. And you’ll also get a course completion certificate after completion of the course.
Full Stack Development vs Data Science
Full-stack development focuses on creating large-scale web applications, while data science focuses on finding meaningful insights and patterns from past data by creating neural networks. Let’s read the key differences between becoming a full-stack developer and data scientist, the key skills required, the salary offered, career opportunities, and top companies hiring for the role.
Skills Required for Full Stack Developer Vs. Data Scientist
| Front-End Development |
Programming Language (Python or R) |
| Back-End Development |
Machine Learning and Deep Learning |
| Database |
Statistics and Maths |
| Version Control System |
Big Data |
| Deployment |
Data Wrangling |
| Problem Solving and Debugging |
Database Management Systems |
Salary Offered for Full Stack Development Vs. Data Science
Top Companies Hiring for Full Stack Development Vs. Data Science
| TCS, IBM, Accenture, Infosys, Microsoft |
Wipro, Amazon, Oracle, EY, Google |
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Conclusion
To conclude, it’s not easy to answer Full Stack Development Vs. Data Science: Which One to Choose? Both domains require mandatory skills, must have educational background to become one. Both full-stack development and data science offers you handsome pay, have good growth in your career, and are also very demanding in today’s world. Also, it depends on which domain excites you more and you should have a strong will to get into the particular field. You can choose any domain based on your interest and skills you’ve and you’re good to go.
FAQs
Q1. Data Scientist or Full Stack Developer? What is the difference?
A Full Stack Developer work on both frontend and backend of a website. While Data Scientists work on analyzing large data to find meaningful insights and finding useful patterns.
Q2. Is full stack developer better than data science?
Both the profession requires different sets of skills and knowledge required, where data science requires good knowledge on Python, data analysis skills and full stack development requires good knowledge of JavaScript, frameworks, and databases. Hence, its not about which is better, rather its about what skills do you want to learn and in which field you have interest on.
Q3. Who earns more full-stack developers or data scientists?
According to a research from different websites, the average salary of a full stack developer in India is 5 – 7LPA whereas the average salary of a data scientist in India is 10 – 12LPA. Also, it depends on various factors like how much years of experience you have, skills you possess, etc.
Q4. Can a full-stack developer become a data scientist?
Full stack development and data scientist, both requires strong command over programming languages, but the crux is for full stack development, you need to have whole understanding of web development process and for data scientist, you need to have knowledge on data analysis, manipulation, etc.You can gain knowledge on full stack development and then go for data scientist with proper skills required.
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