Exploring ​and ​Preparing ​your ​Data with BigQuery

所在平台: CourseraArchive

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课程主页: https://www.coursera.org/archive/gcp-exploring-preparing-data-bigquery

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Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide. This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets. This course should take about one week to complete, 5-7 total hours of work. By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

使用BigQuery探索和准备数据:欢迎使用Coursera专业知识,从数据到Google Cloud团队为您提供的Google Cloud Platform见解。我是Evan Jones(数据爱好者),我将成为您的向导。 本专业的第一门课程是使用BigQuery探索和准备数据。在这里,我们将看到数据分析师面临的共同挑战是什么,以及如何使用Google Cloud Platform上的大数据工具解决这些挑战。您将逐步学习一些SQL,并非常熟悉使用BigQuery和Cloud Dataprep分析和转换数据集。 本课程大约需要一周完成5-7个小时的工作时间。在本课程结束时,您将能够从BigQuery公开数据集中的数百万条记录中查询并得出见解。您将学习如何评估数据集的质量以及如何开发自动数据清理管道,该管道将输出到BigQuery。最后,您将练习在真实的Google Analytics(分析)电子商务数据集上编写SQL和对SQL进行故障排除,以获取营销见解。 &gt;&gt;&gt;通过注册该专业,您同意FAQ中列出的Qwiklabs服务条款,该条款位于:https://qwiklabs.com/terms_of_service&lt;&lt;&lt;

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