Data Lifecycle_ Collection, Cleaning, Processing, and Analysis
ExcelR's Data Analyst Course is meticulously designed to equip individuals with the fundamental skills and practical knowledge required to thrive in the data analysis domain.
Data Lifecycle_ Collection, Cleaning, Processing, and Analysis
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Presentation Transcript
DataLifecycle:Collection,Cleaning,Processing,andAnalysis DataCollection–Gatheringrawdatafromvarioussourcessuchasdatabases,APIs, webscraping,IoTdevices,andsurveys.DataAnalyticsCourseinPune.Ensuringdata accuracyandrelevanceiscrucialatthisstage. DataCleaning–Removingduplicates,handlingmissingvalues,correctingerrors,and standardizingformatstoimprovedataqualityforaccurateanalysis. DataProcessing–TransformingandstructuringdatausingETL(Extract,Transform, Load)techniques,makingitreadyforanalysisbyapplyingfiltering,aggregation,and normalization. DataAnalysis–Usingstatisticaltechniques,machinelearningmodels,and visualizationtoolstouncoverinsights,detectpatterns,andsupportdecision-making. DataAnalysisCourseinPune. DataInterpretation&Reporting–Presentingfindingsthroughdashboards,reports, and storytelling techniques to communicate actionable insightseffectively.
