This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Process Data from Dirty to Clean
Process Data from Dirty to Clean
本课程是 Google Data Analytics 专业证书 的一部分
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您将学到什么
Define different types of data integrity and identify risks to data integrity.
Apply basic SQL functions to clean string variables in a database.
Develop basic SQL queries for use on databases.
Describe the process of verifying data cleaning results.
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作业
21 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累 Data Analysis 领域的专业知识
本课程是 Google Data Analytics 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
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- 通过 Google 获得可共享的职业证书
该课程共有6个模块
Data integrity is critical to successful analysis. In this part of the course, you’ll explore methods and steps that analysts take to check their data for integrity. This includes knowing what to do when you don’t have enough data. You’ll also learn about random samples and understand how to avoid sampling bias. All of these methods will also help you ensure your analysis is successful.
涵盖的内容
8个视频10篇阅读材料6个作业
Every data analyst wants to analyze clean data. In this part of the course, you’ll learn the difference between clean and dirty data. Then, you’ll practice cleaning data in spreadsheets and other tools.
涵盖的内容
10个视频10篇阅读材料6个作业1个插件
Knowing a variety of ways to clean data can make a data analyst’s job much easier. In this part of the course, you’ll use SQL to clean data from databases. In particular, you’ll explore how SQL queries and functions can be used to clean and transform your data before an analysis.
涵盖的内容
9个视频7篇阅读材料5个作业1个插件
When you clean data, you make changes to the original dataset. It’s important to verify the changes you make are accurate and to let your teammates know about the changes. In this part of the course, you’ll learn to verify that data is clean and report your data cleaning results. With verified clean data, you’re ready to begin analyzing!
涵盖的内容
6个视频5篇阅读材料4个作业
Creating an effective resume will help you in your data analytics career. In this part of the course, you’ll learn all about the job application process. Your focus will be on building a resume that highlights your strengths and relevant experience.
涵盖的内容
3个视频2篇阅读材料
Review the course glossary and prepare for the next course in the Google Data Analytics Certificate program.
涵盖的内容
1个视频3篇阅读材料
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AM
已于 Jul 7, 2025审阅
Great way of teaching, her lectures were outstaning and engaging, understood each and every concepts very clearly. Thank you Google and Coursera team for making us to interact with such personality...
OO
已于 Oct 26, 2021审阅
Good content overall. However it will be nice to have the glossary for each week not mixed up with those from previous as it makes it hard to navigate and know which new words need to be learnt
HA
已于 Sep 22, 2025审阅
I think this is the most important course in the Google Data Analytics course series. It has equipped me with practical skills for making data reliable for analysis and data-driven decision-making..
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