How can you make data cleaning skills a valuable asset for business intelligence?
Data cleaning is the process of identifying and correcting errors, inconsistencies, and missing values in a dataset. It is a crucial step in data science, as it can affect the quality, reliability, and usability of the data for analysis and decision making. In this article, you will learn how to make data cleaning skills a valuable asset for business intelligence, by following these tips:
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Narahara Chari D.Chief Data and Analytics Officer at Powerlytics | Adjunct Professor at WPI | Board Member | Top Data Science Voice
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Mojisola Olawepo ITIL®Expert Data Analytics Director| Tech & BI Strategy Leader |Recognized: Top 30 Global Outstanding Women in Data 2023|Top…
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Jaganmohan Reddy PuttaMSAT Senior Scientist & Tech Transfer Expert