Difference Between Data Science and Web Development

Data Science: Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights that analysts and business users can translate into tangible business value. 

Web Development: Web Development refers to building, creating, and maintaining websites. It includes aspects such as web design, web publishing, web programming, and database management. Web Development is used to create Web Applications that run on over remote servers and we access them from our internet browsers. 

Below is a table of differences between Data Science and Web Development:  

Data Science	Web Development
Term Data Science was first coined in 2001.	Term Web Development was first coined in 1989.
Currently there are over 3 Million data scientist over the globe.	Currently there are over 23 Million web developers over the globe.
Average Salary of a Data Scientist is over 94, 000 $.	Average Salary of a Web Developer is over 75, 000 $.
It is a combination of mathematics, statistics and algorithms to analyse Data.	It is the creation of the web applications which we see on the internet.
Data is the biggest prerequisite in Data Science.	Design of the Web Application and its features is the biggest prerequisite in Web Development.
Knowledge of statistics and mathematics is required.	No need of knowledge of statistics and mathematics.
High processing power is required to run algorithms of Machine Learning and Deep Learning on large set of data.	Lower processing power required as compared to Data Science to run Web Applications.
Programming languages used in Data Science are Python, R, MATLAB, etc.	Programming languages used in Web Development are HTML, CSS, JavaScript, SQL, Java, etc.
It is the process of extracting meaning from data.	It is the process of building websites.
It focuses on analyzing data to find trends and pattern.	It focuses on creating the functionality and look of websites.
It is a relatively new field.	It has been around for decades.
It typically work with large data sets.	It typically work with smaller data sets.
It can be used to create predictions and recommendations.	It is used to create the structure and design of websites.
It is often used for marketing and business purpose.	It is used for creating and maintaining websites.
Data science is a data-driven field.	Web development is a design-driven field.
It is often used for marketing and business purpose.	It is used for creating and maintaining websites.
It is a rapidly growing field	It is a well-established field.