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It involves handling missing values, correcting errors, removing duplicates, standardizing formats, and structuring data for analysis. ExploratoryDataAnalysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!)
I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. I would perform exploratorydataanalysis to understand the distribution of customer transactions and identify potential segments.
Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and businessintelligence across various industries.
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