Difference between Data Science vs Web Development?

  • Web Development is the building of a website for the internet or intranet utilizing company details, client requirements, and technical abilities, whereas Data Science is the process of analyzing data using specialist skills and technology.
  • Data science is a new idea, first introduced in 2008, but web development has been around since 1999.
  • Both Data Scientists and Web Developers utilize Python. However, it is used in Data Science to analyze data, whereas it is utilized in web development to create a website.
  • Data Science makes extensive use of coding but also incorporates other parts, whereas Web Development is entirely dependent on code.
  • In Data Science, statistics are used, however in Web Development, statistics are not used.
  • At the end of the analysis, Data Scientists aim to answer business-related issues, whereas Web Developers try to meet the needs of the client when constructing a website.
  • Data Science relies on the availability of data, whereas Web Development relies on tight collaboration with clients to understand their objectives and obtain the necessary data.
  • The budget for Data Science is high, but it is set in stone, whereas the budget for Web Development fluctuates with changing requirements and new features.
  • In comparison to Web Developers, who take a long time to develop a website, Data Scientists work on data for a shorter period of time to achieve results.
  • Web Developers work with company information, whereas Data Scientists work with structured and unstructured data.
  • Since the introduction of E-Commerce, Data Scientists have a better understanding of websites, however Web Developers lack the ability to work with data.
  • Future trends in Data Science, such as Machine Learning and Artificial Intelligence, are numerous, whereas there are few in Web Development.