Data Cleaning is the most common way of preparing data for analysis by removing or modifying data that is incorrect, incomplete, irrelevant, duplicated, or improperly formatted. This information is usually not necessary or helpful when it comes to breaking down data because it may hinder the process or provide inaccurate results. There are few strategies for cleaning data depending on how it is stored. Koenig Solutions offers a wide range of certification courses under the Data Cleaning training program.
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