单项课程

SQL for Data Analysis

by
Udacity

Databases, SQL, and More!

纳米学位项目

商业数据分析

获得纳米学位证书,加速你的职业发展。

关于此课程

In this course, you’ll learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. By the end of the course, you’ll be able to write efficient SQL queries to successfully handle a variety of data analysis tasks.

学费
免费
学习时间
大约 4 周
难度
初级
你将获得

丰富的教学材料

互动随堂练习

业界专业导师

自主掌握进度

开始你的旅程

学习这门单项课程,迈出通往 商业数据分析职业道路的第一步。

单项课程

SQL for Data Analysis

合作企业Udacity

通过创新性的自主学习方式,掌握新技能,提升竞争力。

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课程讲师

Derek Steer

Derek Steer

Instructor

先修知识及要求

Students should have general familiarity working with data in spreadsheets.

查看使用优达学城的 技术要求

为什么学习这门课程?

SQL is the most commonly used data analysis tool for data analysts and data scientists. The majority of the world’s data is stored in databases, and learning SQL will enable you to access and analyze this data with ease. SQL is a valuable tool for a wide array of roles across diverse industries—digital marketers, engineers, product managers, and more, use SQL every day. The ability to do important data work yourself with SQL enhances the value you'll bring to any organization.

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