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Master Data Cleaning Essentials on Excel in Just 10 Minutes

Learners: 77,733

Instructor: Kenji Explains

Duration:

Learn the essential skills to clean and organize data in Excel quickly and efficiently. This course will teach you the basics of data cleaning, including how to use formulas, functions, and shortcuts to clean and organize data. Get ready to become a data cleaning expert in no time!▼▲

Course Feature Course Overview Pros & Cons Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

No Information

Language:

English

Start Date:

2023-06-11 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 the essential data cleaning techniques in Excel. It is designed to help learners quickly learn the basics of data cleaning in Excel in just 10 minutes. The course covers topics such as data types, data validation, data formatting, data sorting, and data filtering. It also provides step-by-step instructions on how to use the various data cleaning tools in Excel. By the end of the course, learners will have a better understanding of the data cleaning process and be able to apply the techniques to their own data sets.

Pros & Cons

Pros Cons

Comprehensive and Engaging Content: Users appreciate the course for its clear and concise explanations, visual companions, and easy-to-follow steps. They find the videos interesting and engaging, making it easier to learn and perform data analysis in Excel.
Continuous Learning: Even experienced Excel users who have been using the software for a decade find something new and valuable in each video. The course provides fresh insights and Excel shortcuts that save users a significant amount of time.

Limited Scope: One user expressed a need for a dashboard specifically tailored to incident reports related to landslides, felled trees, and uprooted trees. This suggests that the course may not cover advanced topics or specific data analysis scenarios that some users may require.
Lack of Supplementary Resources: While the course videos are highly praised, there is no mention of additional resources such as practice exercises, quizzes, or downloadable materials. This may limit the ability of users to reinforce their learning and apply the concepts outside of the course.