Understanding Data Cleaning Google Data Analytics Certificate
Learn how to clean data and gain job-ready skills with the Google Data Analytics Certificate. Created by Google employees in the field, this program provides learners with the skills to start or advance their career in data analytics in about 6 months. No experience necessary. Visit https://goo.gle/3amvXxY to get started. #GrowWithGoogle #GoogleCareerCertificate #DataAnalytics ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
2021-06-11 00:00:00
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 20th, 2023]
This course provides an overview of data cleaning and its importance in data analytics. Learners will gain an understanding of why data cleaning is important, how to identify dirty data, and how to start the data cleansing process. They will also learn how to clean data from multiple sources, use data cleaning features, optimize the data cleaning process, and explore data perspectives. Finally, learners will be introduced to even more data cleaning techniques. By the end of the course, learners will have the skills and knowledge to clean data for successful analysis.
Pros & Cons
Clear and concise explanations: Users appreciate that the concepts are explained with clarity, eloquence, and in simple language. This makes it easier for learners to understand the content and grasp the concepts effectively.
Comprehensive coverage of data cleaning techniques: The course covers a wide range of data cleaning techniques, including starting the data cleansing process, cleaning data from multiple sources, data cleaning features, optimizing the data cleaning process, data perspectives, and even more advanced techniques like data mapping, compatibility, schema, primary key, and foreign key. This comprehensive coverage ensures that learners gain a thorough understanding of data cleaning.
Lack of visual clarity in videos: Some users have mentioned that the videos could be more effective if the entire screen in the video showed the computer screen, with the instructor occupying a smaller space at the corner. This would be particularly helpful for learners using mobile devices, as sometimes the text in the videos becomes hazy and hard to read.
Incorrect identification of duplicates: One user pointed out that in one of the videos, rows #27 and #31 were incorrectly identified as duplicates, even though they had different SO numbers and different amounts of dollars transferred. This highlights a potential issue with the accuracy of the course content in identifying duplicates, which could lead to confusion for learners.
Course Provider
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