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
This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
Top Instructor
Sponsored by University of Texas at Austin
713,741 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(17,015 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 26 hours
Learn at your own pace
98%
Most learners liked this course
What you'll learn
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
21 quizzes, 3 assignments
Taught in English
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This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
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.
What's included
8 videos10 readings5 quizzes1 assignment1 plugin
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.
What's included
10 videos10 readings5 quizzes1 assignment1 plugin
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.
What's included
9 videos7 readings4 quizzes1 assignment1 plugin
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!
What's included
6 videos5 readings4 quizzes
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.
What's included
8 videos4 readings3 quizzes
Review the course glossary and prepare for the next course in the Google Data Analytics Certificate program.
What's included
1 video3 readings
Instructor
Instructor ratings
4.9 (5,307 ratings)Offered by
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