|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-for-data-science-with-google-big-query/
课程评论：没有评论
**课程名称：** SQL for Data Science with Google BigQuery **课程概述：** 本课程面向零SQL基础的学习者，从SQL基础知识讲授到高级特性和方法。课程还将介绍Google BigQuery，一个流行的云端数据查询工具，能够高效处理海量数据。 **核心学习内容：** * **SQL精通：** 掌握SQL基础，包括数据查询、筛选、排序，以及更高级的连接、聚合、窗口函数等。 * **Google BigQuery应用：** 学习如何使用BigQuery进行大规模数据分析，利用其强大的云计算能力。 * **数据可视化与洞察：** 学习如何从数据中提取有价值的洞察，并通过数据可视化进行展示。 * **真实世界数据实践：** 课程提供数百个海量真实世界数据集，供学习者反复练习和进行项目开发。 **先修要求/准备：** * 一个Google账号。 * 12个月免费试用的Google Cloud Platform (GCP) 账户。GCP试用包含300美元的额度，足以完成课程中的所有数据查询。 * 注册GCP试用时需要提供信用卡或银行卡信息以验证身份，但试用期内不会产生费用。 * 课程提供指导视频，帮助完成GCP账户注册。 **课程优势：** * **零门槛入门：** 即使没有SQL经验也能轻松学习。 * **实用技能：** 学习SQL和BigQuery这两项在数据科学领域极其重要的技能。 * **海量数据练习：** 接触并操作大规模真实数据，提升实战能力。 * **项目导向：** 鼓励完成实际项目，巩固所学知识。
This course assumes you know nothing about SQL and teaches you all the basics as well as more advanced features/methods. You will also get to learn Google Big Query, a very popular cloud based tool for querying large amounts of data at scale in the cloud. Not only will you learn SQL, but you will learn a lot about data visualization and how to gather insights from the data. You will also have access to hundreds of huge real world data sets that come along with the Google Big Query Ecosystem. Even after finishing the course content, you can still continue to improve by doing all sorts of projects on the data made available.This course requires a Google account (which is Free) and a free 12 month trial for Google Cloud Platform (GCP). This is how you access Google Big Query which is one of the services offered through GCP. When signing up for the 12 month free trial of GCP you get $300 USD to spend on any GCP services. This is more than enough to query the data sets in this course. I used less than 5% of the credits in preparing as well as completing all the materials. As part of the sign up process you will require a credit card or bank account details so GCP can verify your identity. You will not be charged or billed during your free 12 month trial. Instructions for signing up will be available in introductory videos for the course.
