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Here's a detailed overview of a typical Data Analyst course curriculum_

ExcelR offers data analyst course in mumbai

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Here's a detailed overview of a typical Data Analyst course curriculum_

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  1. Here'sadetailedoverviewofatypicalDataAnalystcoursecurriculum:Here'sadetailedoverviewofatypicalDataAnalystcoursecurriculum: • Introduction toData Analysis • FoundationsofDataAnalysis:Introduction tothefield,its importance,andtheroleofaDataAnalystCourseinorganizations. • OverviewofDataAnalysisTools:IntroductiontotoolslikeExcel,SQL,andPythonfordata manipulationandanalysis. • IntroductiontoStatistics:Basicstatisticalconceptsincludingprobability,distributions,and descriptivestatistics. • DataAcquisitionandCleaning • DataSources:Methodsforobtainingdatafromvarioussourcessuchasdatabases, spreadsheets,andwebAPIs. • DataCleaning:Techniquesforhandlingmissingdata,outliers,andinconsistenciesindata sets. • DataTransformation:Preprocessingtechniquessuchasdatanormalization,scaling,and encodingcategoricalvariables. • ExploratoryDataAnalysis(EDA) • DescriptiveStatistics:Summarizingandvisualizingdatausingmeasuresofcentraltendency, dispersion,andgraphicaltechniques. • DataVisualization:UsingtoolslikeExcel, Tableau,andmatplotlibforcreatingvisualizationsto explorepatternsandrelationshipsindata. • CorrelationAnalysis:Identifyingcorrelations betweenvariables andunderstandingtheir significance. • IntroductiontoSQL • Database Fundamentals: Introduction torelational databases, tables,andbasicSQL commandsforqueryingandmanipulatingdata. • DataRetrieval:WritingSQLqueriestoretrievedatafromdatabases,performfiltering,sorting, andaggregations. • AdvancedDataAnalysisTechniques • StatisticalAnalysis: Conductinghypothesis testing,ANOVA,andregression analysisto analyzerelationshipsandmakedata-drivendecisions. • TimeSeriesAnalysis: Techniquesforanalyzingandforecastingtime-seriesdatausing methodslikemovingaveragesandexponentialsmoothing. • PredictiveModeling:Introductionto machine learningalgorithms for predictivemodeling includinglinearregression,decisiontrees,andk-nearestneighbors. • DataWarehousingandBusinessIntelligence • DataWarehousingConcepts:Understandingdatawarehousingarchitectures,ETLprocesses, anddatamodelingtechniques.

  2. IntroductiontoBusinessIntelligence(BI) Tools:OverviewofBItoolslikePowerBIandTableau forcreatinginteractivedashboardsandreports. • Real-worldProjectsandCaseStudies • Hands-onProjects:Applyingdataanalysistechniquestoreal-worlddatasetsandbusiness problems. • CaseStudies:Analyzingreal-worldcasestudiesfromvariousindustriessuchasfinance, marketing,andhealthcare. • BusinessProblemSolving:Usingdataanalysistosolvebusinessproblems,identifytrends, andmakedata-drivenrecommendations. • CommunicationandVisualization • EffectiveCommunication:Communicatinganalysisfindingsandinsightstostakeholdersusing storytellingtechniques. • DataPresentation: Designing effective data visualizations and presentations toconveyinsights clearlyandpersuasively. • EthicalandLegalConsiderations • DataPrivacyandSecurity:Understandingtheethicalimplicationsofdataanalysisincluding privacy,confidentiality,anddatasecurity. • Compliance:AwarenessoflegalandregulatoryrequirementssuchasGDPRand HIPAA that governdatahandlingandanalysis. • CapstoneProject • CapstoneProject:Applyingknowledgeandskillsacquiredthroughoutthecoursetosolvea real-worlddataanalysisproblem. • ProjectPresentation:Presentingfindingsandinsightsfromthecapstoneprojecttopeersand industryprofessionals. • Thiscomprehensivecurriculumequipsstudentswiththeskillsandknowledgeneededtoexcel asDataAnalyticsCourseInMumbaiintoday'sdata-drivenorganizations. BusinessName:ExcelR-DataScience,DataAnalytics,BusinessAnalystCourseTraining Mumbai Address:Unitno.302,03rdFloor,AshokPremises,OldNagardasRd,NicolasWadiRd, MograVillage,GundavaliGaothan,AndheriE,Mumbai,Maharashtra400069,Phone: 09108238354,Email:enquiry@excelr.com.

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