With so many options around, choosing the right career could prove challenging. One such common dilemma aspirants face these days is choosing between full stack development vs. data science as a career. Both are trending and simultaneously promising enough to make them think. What you need here is something that can guide you in choosing between becoming a full stack developer vs. data scientist. Accordingly, this blog that compares full stack vs. data science as careers can prove helpful.

Who is a Data Scientist?

As an interdisciplinary stream, data science leverages various procedures, scientific techniques, systems, and algorithms to extract information and insights from structured and unstructured data. Further, it applies the knowledge acquired and actionable insights to various application areas. The professional who does all of it is termed a data scientist. Becoming a data scientist requires skills like R programming, Python programming, data visualization, SQL databases, Hadoop platform, AI-ML, etc.

Who is a Full Stack Developer?

On the other hand, full stack development involves working on the front and back end of a software, mobile, website, or web application. It is a highly coveted career stream, as full stack developers fill in two positions with multiple skill sets through a single individual. Full stack development demands an extensive skill set that includes but isn’t limited to JavaScript, HTML/CSS, database storage, backend languages, HTTP and REST, backend languages, fundamental design skills, Git, and GitHub.

Full Stack Vs. Data Scientist – Which Career to Choose?

Let’s look at some key differences between full stack developer and data scientist.

Full Stack Developer Vs. Data Scientist Salary

Salary is undoubtedly the most significant parameter when it comes to data science vs. full developer choice. Full stack developer vs. data scientist salary varies depending on factors like the employer’s paying capacity, the candidate’s skill set, the city of employment, etc. Nevertheless, the average annual salary of a full stack developer in India ranges between 5-7 lakhs INR, and a data scientist's salary is in more or less the same range.

Which is Better Data Science or Full Stack Developer?

Considering one better than the other, considering a parameter or two, might not be the right thing to do, as both have abundant scope. But only a particular career stream’s scope doesn’t matter. What is equally important is what will you like to do. Data science requires a highly analytical mindset, whereas full stack development demands a creative and coherent thought process.

Remember, results matter in the case of both. An informed choice resulting from an extensive churning of thoughts and expert career consultation can help you know data science vs. full stack developer which is easy for you.

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