📜  数据科学和 Web 开发之间的区别

📅  最后修改于: 2021-09-14 02:39:10             🧑  作者: Mango

数据科学:数据科学是结合领域专业知识、编程技能以及数学和统计知识以从数据中提取有意义的见解的研究领域。
数据科学从业者将机器学习算法应用于数字、文本、图像、视频、音频等,以生成人工智能 (AI) 系统来执行通常需要人类智能的任务。反过来,这些系统产生洞察力,分析师和业务用户可以将其转化为有形的业务价值。

Web 开发: Web 开发是指构建、创建和维护网站。它包括网页设计、网页发布、网页编程和数据库管理等方面。
Web 开发用于创建在远程服务器上运行的 Web 应用程序,我们可以从 Internet 浏览器访问它们。

DataScience-and-WebDevelopment-Differences

下表列出了数据科学和 Web 开发之间的差异:

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.