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To make sure the data is precise and suitable for analysis, data processing analysts use methods including datacleansing, imputation, and normalisation. Data integration and transformation: Before analysis, data must frequently be translated into a standard format.
Data Analyst Interview Questions and Answers 1) What is the difference between DataMining and Data Analysis? DataMining vs Data Analysis DataMiningData Analysis Datamining usually does not require any hypothesis. Data analysis involves data cleaning.
They ensure that the data is accurate, consistent, and available when needed. To achieve this, DBAs use a variety of tools and techniques, including datacleansing, datavalidation, and database backups. Datacleansing is the process of identifying and correcting errors in the data.
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