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One of the most dramatic shifts happening right now is the rise of data science and its impact on web development. These two fields aren’t mutually exclusive—they can coexist and even complement each other—but they require different skill sets and approaches.
This article will overview these two disciplines and their similarities and differences. We’ll also talk about the future scope of data science.
Data science is the process of concluding data. In the business context, this means taking information about your customers and using it to make better decisions about how you run your business. Data science allows businesses to be more efficient, effective, and profitable by helping them make sense of their data and apply it appropriately.
The future scope of data science is excellent. Businesses need data science to analyze their customers’ behavior, understand what they want, and meet those needs while ensuring that they’re maximizing profits. Data science helps businesses do this by providing customer insights.
Data scientists use various languages and platforms to help them collect, analyze, and interpret data. These include Python, R, SQL, and Matlab.
Want to know the basics of data science? Check out our blog on data science’s four pillars for more information.
Web development is building a website or application on a web server. It includes creating the content and the coding that make up your site. Businesses need web development because it’s essential to have an interactive online presence. The more people can find your business on the Internet, the more they will prefer you for their next purchase.
Web development is also essential because it can help improve your SEO rankings. When someone searches terms related to your business, they will be more likely to find you in search results if you have a website built well and optimized for search engines like Google. Web developers use programming languages like PHP, Python, Ruby, HTML, CSS, JavaScript, Java, and C# to build websites.
Want to know more about the critical differences between business analysts and data analysts? Check out this blog for more detailed information.
Want to know more about the industry demand for data science? Check out our blog on data science demand for more information.
If you’re looking to make more money right now, data science is the way to go, as the future scope of data science looks bright. Web development might be the best option if you’re looking to build a design structure in tech.
Web development jobs are often less paying than data science jobs. The average salary for data scientists is about INR 10 LPA, while the average salary for a web developer is around INR 7 LPA. However, this does not consider bonuses and other benefits that can come with being a web developer (such as stock options). This proves that the future scope of web development is also robust.
Want to know why data science is important? Check out our blog on why data science is essential for more information.
Want to know more about the job roles of a data scientist? Check out our blog on data science job roles for more information.
Data science programs at Online Manipal are a great place to start to enter this field. Designed by the expert faculty of Manipal academy of Higher Education (MAHE), online M.Sc. in Data Science covers Computational Mathematics, Programming, Statistics, Machine Learning Techniques and others. Postgraduate Certificate Program in Data Science & Machine Learning from Manipal Institute of Technology (MIT) is a nine-month intensive training program in these evolving domains. The program contains practical sessions that help you apply your knowledge in real-world scenarios.
These programs are taught by expert instructors passionate about teaching. These instructors have years of experience teaching people how to code in real-world environments, which means they can offer students valuable insight into what it takes to succeed after graduation.
Key takeaways:
Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.
Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.
Become future-ready with our online M.Sc. in Data Science program
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