Full Stack Data Science vs Web Development: How to choose your program

Program Info
Data Science and Web Development are undoubtedly one of the most trending terms, and several tech enthusiasts are excited about the possibilities these fields offer. However, choosing the right domain and program is crucial in building a career in these fields.
Full Stack Data Science vs Web Development: How to choose your program

You must have already narrowed down the best online coding program to fulfill your professional goals and requirements. First, it is essential to understand what type of boot camp schedule will best fit your personal and professional commitments.

Answering these questions can be particularly challenging, especially for someone new to tech. In this blog, we will walk you through the distinctions between the widespread web development track and the newer, fast-growing data science domain so that you can choose the right path for you.

Difference between Data Science and Web Development

Firstly, it will be helpful to understand the primary differences between data science and web development.

Data Science

In layperson's terms, data science is a field used for predictions, analysis, and optimizing data in the field. Data scientists utilize math, algorithms, and statistics to analyze data using a combination of programming skills and domain knowledge to find patterns and extract relevant information.

Data scientists also work on applying machine learning algorithms to video, audio, images, and text to develop artificial intelligence systems capable of performing tasks typically requiring human intelligence. Moreover, these systems are also very beneficial for providing valuable information to clients that can translate into massive business revenue, helping them make crucial decisions and learn to be more efficient. In other words, data scientists invest most of their time in analysis, with some time in programming and development.

Data Scientists work in teams and as individual contributors on shorter projects with more concise timelines than web developers. They are often considered masterful at cleaning and analyzing, and experts at managing data while creating a proficient report.

Web Development

The field of web development mainly focuses on the user experience and involves creating, building, and maintaining websites. In addition, the responsibilities of a web developer can include working on web-based internet applications, social networking platforms such as Twitter and Facebook, and electronic businesses.

Web developers possess web designing, graphic designing, web programming, web publishing, and database management skills to create immaculate web applications. In addition, web developers are often considered team-oriented and creative-minded, depending on the project they are working on and the teams they work with. Developers are also proficient coders and are ideal for creating websites from the ground up.

Unlike data scientists, web developers often spend extended periods on more significant projects, such as a website, which generally demands much more time before the launch. Another intriguing element of web development is that little or no knowledge of math or statistics is required, unlike data science. Moreover, web developers often report gratifying, tangible results, ongoing opportunities to showcase their skills and creativity, and a rewarding feedback loop.

Job growth projections for web developers and data scientists

Although data scientists and web developers have a few intersecting skills, they rely on distinct professional strengths and have different salary potentials. For example, in India, the average salary of a web developer is more than ₹ 4.5 lakhs annually. However, with the introduction of Web 3.0, companies are looking for skilled Web2+ Web3 developers, and the average salary of such developers is approximately ₹ 8 lakhs yearly. On the other hand, the average salary of a data scientist is more than ₹ 10 lakhs per annum.

While both domains hold massive earning potential, according to LinkedIn’s 2020 emerging job report, data scientists showed a 37% annual growth, while full-stack developers showed a 35% yearly growth. However, it is worth noting that exponential future needs and the potential of Machine learning and Artificial Intelligence are supporting the demand for data scientists. On the other hand, as mentioned above, the introduction of Web 3.0 or the semantic web bolsters the need for skilled web developers.

Which AlmaBetter program is best for me?

Full Stack Web Development with Web3 in collaboration with Polygon

The Full-Stack Web Development with Web3 program, in collaboration with Polygon, is designed to provide you with the best and most updated curriculum, which also meets industry standards. Web 3.0 promises a better, faster, and more interactive internet, and AlmaBetter’s curriculum covers everything from the basics to advanced concepts such as blockchain technology.

Here are the unique features of the program-

  • A placement guarantee of minimum Rs 6 - 25 LPA
  • Pay-after-placement
  • Lifetime access
  • Hands-on guidance from industry experts
  • $MATIC coins from Polygon on successful completion

Full Stack Data Science Program

The Full-Stack Data Science Program is devised to provide robust training to young talents and give them an edge in securing a job in this promising industry.

Check out AlmaBetter’s evergreen program- Full Stack Data Science. Enroll now and become a job-ready data science professional in 30 weeks.

Here are the unique features of the program-

  • A placement guarantee of minimum Rs 6 - 25 LPA
  • Pay-after-placement
  • Lifetime access
  • Hands-on guidance from industry experts
Arpit Mehar
Content Developer Associate at AlmaBetter

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