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Excel Data Cleaning Fundamentals
Rating: 4.4 out of 5(158 ratings)
2,313 students

Excel Data Cleaning Fundamentals

How to detect and fix errors in datasets imported into Excel for data analysis
Created byNasiru Musa
Last updated 9/2022
English
English [Auto],

What you'll learn

  • How to detect and fix errors in datasets imported into Excel for analysis
  • How to categorize and fix errors in the different data types in excel using basic to advanced excel functions
  • Different concepts and techniques used in excel data cleaning

Course content

16 sections37 lectures1h 50m total length
  • Introduction4:31

    Explore essential Excel data cleaning techniques to detect and fix data type errors, inconsistencies, and anomalies. Learn step-by-step follow along exercise, case study exercises, and quizzes to build practical skills.

  • The follow through exercise1:35

    Review and clean a customer dataset in Excel, identify errors and inconsistencies, and normalize by calculating ages and adding a month of departure column using ASCII and airport tables.

  • What are the attributes of a good Data-set in Excel?1:36

    Identify the essential attributes of a clean Excel dataset, including headers for every column, no missing headers, no blank cells, and homogeneous data, while distinguishing text and number data types.

Requirements

  • Basic Knowledge of Microsoft Excel

Description

Analyst from time to time may need to analyze small datasets from larger datasets that may exist in other applications or other forms of storage for very quick results.

Excel has proven to be a very reliable support analytical tool in this regard , it is easy to learn and work with, it provides the analyst with reliable and easy ways of  importing datasets into excel for quick analysis.

The main challenge that analysts  face  having imported datasets into excel from different applications is the issue of data inconsistencies, anomalies and other errors.

The course is designed to provide the analysts with the necessary skill set to overcome this problem, by providing a step by step instruction using a follow along exercise and also several case study exercise and quizzes, on how to use basic to advanced excel functions , concepts and techniques in a fast and efficient way to detect and fix errors that result from datasets imported from other sources into excel for analysis.

The techniques in this course are simple but yet very effective in excel data cleaning , and will not require the use of macros or any excel add on tools. Data cleaning hack absolutely free for anyone who wants a head start in excel data cleaning techniques

Who this course is for:

  • Analysts, who want a quick start in excel data cleaning
  • Consultants
  • Marketing professionals
  • Bankers
  • Accountants
  • Anybody who wants a quick start to some essential excel data cleaning concepts and techniques