Chevron Left
Back to Process Data from Dirty to Clean

Learner Reviews & Feedback for Process Data from Dirty to Clean by Google

4.8
stars
18,571 ratings

About the Course

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. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Check for data integrity. - Apply data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Use basic SQL functions to clean and transform data. - Verify the results of cleaning data. - Write an effective data cleaning report...

Top reviews

AM

Jul 3, 2023

It was a great course that helped me so much and thought me the ways how to deal with dirty data and clean them. The techniques were accurate which made the works easy to deal with dirty data.

OO

Jan 27, 2023

The course covers the topic of data cleaning, handling missing values, outliers and errors using SQL and spreadsheets, which are important skills for data analysis and working with real-world data.

Filter by:

2576 - 2600 of 3,173 Reviews for Process Data from Dirty to Clean

By Arnoldy C

•

Mar 16, 2023

good

By Fitrah S

•

Mar 14, 2023

cool

By Angger M R

•

Mar 10, 2023

good

By Thu H L

•

Mar 7, 2023

good

By shivam j

•

Feb 7, 2023

good

By kiattisak S

•

Jan 17, 2023

Good

By Faraz G

•

Jan 5, 2023

good

By SABARIVEL.K

•

Dec 24, 2022

good

By bhargavi s

•

Dec 9, 2022

Good

By Dinesh W

•

Dec 6, 2022

Good

By Jason T

•

Nov 24, 2022

good

By Yang Z

•

Nov 21, 2022

nice

By Eriselda D

•

Nov 17, 2022

good

By VIKASINI S P

•

Sep 2, 2022

nice

By Justin C

•

Aug 9, 2022

nice

By Judson N

•

Jul 4, 2022

good

By Pritam s

•

Jun 30, 2022

Nice

By MAGDALINE A

•

Jun 9, 2022

good

By Alemayehu E

•

May 25, 2022

good

By Daesun R

•

May 11, 2022

good

By Aamir B

•

Jan 9, 2022

good

By 蔡宏隆

•

Jan 5, 2022

Good

By Abdul R

•

Dec 17, 2021

good

By Jhon S K

•

Dec 9, 2021

Nice

By Luay n

•

Nov 26, 2021

good