This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. 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.
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About this Course
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
What you will learn
Define data integrity with reference to types of integrity and risk to data integrity
Apply basic SQL functions for use in cleaning string variables in a database
Develop basic SQL queries for use on databases
Describe the process involved in verifying the results of cleaning data
Skills you will gain
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Offered by

Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
Syllabus - What you will learn from this course
Before you clean, check for integrity
As you start thinking about how to prepare your data for exploration, this part of the course will highlight why data integrity is so essential to successful decision-making. You’ll learn about how data is generated and the techniques analysts use to decide what data to collect for analysis. And you'll discover structured and unstructured data, data types, and data formats.
All about clean data
Every data analyst wants clean data to work with when performing an analysis. In this part of the course, you’ll learn the difference between clean and dirty data. You’ll also explore data cleaning techniques using spreadsheets and other tools.
Cleaning data in SQL
Knowing a variety of ways to clean data can make an analyst’s job much easier. In this part of the course, you’ll check out how to clean your data using SQL. You’ll explore queries and functions that you can use in SQL to clean and transform your data to get it ready for analysis.
Verify and report your cleaning results
Cleaning your data is an essential step in the data analysis process. Verifying and reporting your cleaning is a way to show that your data is ready for the next step. In this part of the course, you'll find out the processes involved with verifying and reporting data cleaning as well as their benefits.
Reviews
TOP REVIEWS FROM PROCESS DATA FROM DIRTY TO CLEAN
The instructor was the best. She was very clear and engaging. I enjoyed this module so much. I look forward to the start of a new career thanks to her great attitude.
Great instructor, great energy, clear! Lessons were to the point. Learnt a lot. Liked the way the exercises/practice were structured in this course too
Each and every concept related to dirty data, Data integrity, Data Cleaning etc.. Are explained in a nice way with awesome analogies.... Loved it...
great theory and acceptable practical course,it would be better to have a bit more hands on practical course though
About the Google Data Analytics Professional Certificate
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 337,400 U.S. job openings in data analytics with a $67,900 average entry-level salary.¹

Frequently Asked Questions
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