Learner Reviews & Feedback for Data Cleaning in Excel: Techniques to Clean Messy Data by Coursera Project Network
4.5
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32 ratings
About the Course
Rarely do analysts begin working with a dataset without cleansing it first. Having clean data will allow for the highest quality of information for strategic decision-making. Data cleaning is also a vital part of the data analytics process. Data Cleaning in Excel: Techniques to Clean Messy Data, is for a beginner audience with basic computing skills, typing, and using Excel web. In this 90-minute Guided Project, you will explore the principles of tidy data, apply built-in Excel features to clean data, and use Excel functions to perform text manipulation. To achieve this, we will clean up untidy data set of student data containing names, registration numbers, addresses, marks for three courses, averages, total, and grades. This project is unique because you will learn by doing through step-by-step instruction using a real-world scenario to equip you with foundational data analysis skills that are useful for reporting data. In order to be successful in this project, prerequisites include basic computing skills, familiarity with Windows, files and folders, and basic typing....
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1 - 4 of 4 Reviews for Data Cleaning in Excel: Techniques to Clean Messy Data
By Monise L S E
•
Apr 5, 2024
The instructor was very thorough and explained things clearly.
By Dr.A. S
•
Mar 27, 2023
Great experience. feel good
By Yasir O
•
Nov 8, 2024
this is wonderful guided projects for excel beginners and pre intermediate students.
thanks Coursera and instructor.