Data Science vs Web Devlopment... #122303
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BodyHey fellow programmers....I'm student in India...I'm having a tough time in choosing any one of the following domain:
So I want someone to help me in choosing anyone of these... I want you to help me by enlightening scope and positivities of each domains so I could begin my journey. My Current Skills: Python, Html, Css and had worked with Sql but only basics. Guidelines
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Replies: 4 comments 4 replies
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Hi @YuheshPandian, Your dilemma is quite common in the tech world, and it’s commendable that you’re seeking advice on this. With your skills in Python, HTML, CSS, and basic SQL, you have a solid foundation for both Web Development and Data Science. Web Development is indeed a vast field, and while it may seem overwhelming with the constant introduction of new frameworks, it also means there’s a wide variety of opportunities to specialize in what you enjoy most. The skills you’ve acquired so far will serve you well here. Data Science, on the other hand, is more specialized and can offer a more focused career path. It’s true that Python is a significant asset in this domain, and with the growing importance of data in decision-making across industries, expertise in Data Science can be very valuable. Ultimately, the choice depends on where your passion lies. If you find joy in creating and designing user experiences, Web Development could be your path. If you’re intrigued by uncovering patterns and deriving insights from data, then Data Science might be more fulfilling for you. |
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Hello !!! I understand that you have already explored both fields and that you find them both very interesting and even like them. However, since making decisions about your future can be stressful at times, a good option is to dive in and thoroughly research what each of these disciplines is all about. I recommend that, on your own, you explore what you like about one and what you don't like about the other, and imagine how you see yourself in each in the future. The best way to do this is to thoroughly research each field and even work on projects related to them. In analytics, basic skills in tools such as Excel, SQL and Power BI are essential. Although Python is also used, especially at advanced stages, at the beginning of your career in this field, you are likely to find yourself mainly performing data cleansing and transformation tasks, as well as report creation. Web development encompasses the creation of websites and web applications, from interface design to server-side development. This area is in high demand in today's digital age, with fast feedback that allows you to see results immediately. It also has an active community of developers willing to collaborate. Your current skills in Python, HTML and CSS are a solid starting point, and you can expand them by learning frameworks like Django or Flask for backend development. Adding Flask or Django to your skills can further enhance your capabilities and open up new opportunities in web development. |
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Good luck on your journey @YuheshPandian! 😄 |
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Hello Brother, I'm a freelance web developer based in the Philippines. If you're thinking about diving into the world of IT or computer science, it's important to consider what you enjoy and what you're not so crazy about. If crunching numbers and playing with data gets you excited, maybe data science is your jam. You know, taking raw data and turning it into something meaningful that can benefit society. But if you're more into flexing your creative muscles, designing webpages, and bringing your ideas to life in the digital realm, then web development might be the perfect fit for you. |
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Hello !!!
I understand that you have already explored both fields and that you find them both very interesting and even like them. However, since making decisions about your future can be stressful at times, a good option is to dive in and thoroughly research what each of these disciplines is all about. I recommend that, on your own, you explore what you like about one and what you don't like about the other, and imagine how you see yourself in each in the future. The best way to do this is to thoroughly research each field and even work on projects related to them.
In analytics, basic skills in tools such as Excel, SQL and Power BI are essential. Although Python is also used, especially …