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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-for-data-analysis-e/
课程评论：没有评论
课程名称：数据分析师与数据工程师的SQL课程 课程概述：SQL是数据分析和处理中最广泛使用的语言。无论您是数据分析师、数据科学家、市场营销人员、工程师还是产品经理，掌握SQL将帮助您更加高效和有效地访问和处理数据。本课程将教授SQL的基础知识及其在各种数据分析任务中的应用。您将学习如何编写常用的SQL命令，如SELECT、FROM、WHERE、JOIN和GROUP BY。此外，您还将学习SQL的更高级功能，如子查询、临时表、窗口函数和日期函数。完成本课程后，您将能够编写SQL查询，从任何关系数据库中提取、转换和分析数据，并能够将SQL技能应用于实际场景和项目。 本课程适合初学者及对电子表格中数据有一定了解的专业人士，不需要先前的编程经验。您只需一台计算机和互联网连接即可加入课程。现在就加入课程，开始您成为SQL专家的旅程吧！ SQL在许多实际场景中被广泛使用，例如电商网站用于存储产品信息、客户详情、订单、支付和评论；社交媒体网络用于存储用户信息、帖子、评论、点赞、分享和消息；教育机构用于存储学生记录、成绩、课程、注册和出勤等。
SQL is the most widely used language for data analysis and manipulation. Whether you are a data analyst, data scientist, marketer, engineer, or product manager, knowing SQL will help you access and work with data more efficiently and effectively.In this course, you will learn the basics of SQL and how to use it for various data analysis tasks. You will learn how to write common SQL commands, such as SELECT, FROM, WHERE, JOIN, and GROUP BY. You will also learn how to use more advanced features of SQL, such as subqueries, temp tables, window functions, and date functions.By the end of this course, you will be able to write SQL queries to extract, transform, and analyze data from any relational database. You will also be able to apply your SQL skills to real-world scenarios and projects.This course is designed for beginners an Professional who have some familiarity with data in spreadsheets. No prior programming experience is required. All you need is a computer and an internet connection.Join this course today and start your journey to becoming a SQL expert!?SQL is used in many real-world scenarios where data is stored in relational databases and needs to be accessed, manipulated, or analyzed. Here are some examples:E-commerce websites use SQL to store product information, customer details, orders, payments, and reviews. For example, Amazon uses MySQL, a popular relational database management system, for its online transactions.Social media networks use SQL to store user information, posts, comments, likes, shares, and messages. For example, Facebook uses MySQL for its primary data storage and Hive for its data warehouse.Educational institutions use SQL to store student records, grades, courses, enrollments, and attendance. For example, Stanford University uses Oracle Database, a powerful relational database management system, for its administrative and academic functions.
