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Data Analyticsvs DataAnalysis: WhatʼsTheDifference AptechStang 11:40pm Views:131 Intoday’stech-drivenbusinesslandscape, organizations greatlyrelyon data to gain insights about theircustomersandmakeinformeddecisions.Bycollectingandanalyzingdata, companiesimprove their performance,therebyincreasing their growth. However,forthosewhoarenotinthetechnicaleld, datasciencejargonisquiteconfusing. Two such confusingtermswhichalmostseemedsimilarandareoftenusedinterchangeably aredataanalyticsand dataanalysis. Mostpeople,especiallynon-technical usersthinkthatboth these words relatetothesame thing. But thereisamajordierencebetween thetwo.Boththesetermshavedierent
meaningsandhavetheirmethodsandobjectives. Ifyouare planningtopursue data analysttraining, itisextremely essential tounderstandthe keydierencebetweendataanalyticsanddataanalysisto acquirethe required business- specicknowledgetogetstartedwithyourcareer. Inthisblog,wewilllookatboththetermsandidentifywhatmakes thetwodierentfromeach other. WhatIsDataAnalytics? Data analyticsisabroadereldindatascience and referstoextracting,processingand analyzing rawdatafrom various sourcesto get insightsaboutcurrent problems andpresent actionablesolutions.Inotherwords,wecan saythatthistermreferstotheentireactionwhich companiestake, i.e. fromgainingdata-driveninsightsto making criticaldecisions. Ina data analyst trainingprogram,candidatesare taughtto work withprimary data using varioustoolsandtechnologies andequipthemselveswithmachinelearningandstatistical analysis. WhatIsDataAnalysis? Dataanalysisisasubsetandpartofdataanalytics.Itreferstothe process ofcleaning, manipulatingandvisualizingdatatomakeconclusionsfromit.Rawdataoftenhave informationwhichisverydiculttopredict. Therole ofadata analysis professionalistoturnrawdataintomeaningfulconclusions, statisticsand explanations.Whenitcomes toinformationfrom therawdata,thereareseveral approaches,likeA/B testing, data mining,machinelearningand data integration. WhatMakesDataAnalyticsDifferentFrom DataAnalysis? Asanindividualwho ispursuing data analyst training,youarerequiredtounderstandthe objectivesofboth terms andunderstandthecircumstanceswheretheyareused. Useinbusinesses:Companiesneedtostudy consumer behaviourandadapttothe changingdemandtothriveinthemarket. Dataanalyticsaimstoexaminedataandnd outthechangein consumer patternsto give positiveresults.Dataanalysisontheother hand shedslight ontheproblemsfacedbytheanalyticsteamtointerpretrawdata. Toolsused:Data analytics professionalsusedvarioustools likeTableau,Excel,Python andGoogleAnalyticstoprocess thedata.Onthecontrary,data analysis involvestheuse oftoolslikeSpark,GoogleFusiontablesandNodeXLtocommunicateinformation. Thewaytheywork: Dataanalyticsfocusesonprovidinganswerstospecicquestions
andchallengesthat are relevantfororganizationstodrivepotentialgrowth. Data analysisdoesnotworktogivespecicqueries.Instead,theyworktondparticularquestionsthatmightarisewhilestudyingthedata. WhichOneIsABetterOption? Both dataanalyticsanddata analysisareessentialintoday’s businessmodel.Itis hardto comparethetwoandpredictwhichoneisbetter.Aftercompletionof data analysttraining, you willnddataanalyticsispreferred byorganizations whowanttostreamlinetheir process by adoptingaholisticapproach.Forexample,thenanceandretailsector. Ontheotherhand,data analysisisrequired inindustriesthatarelookingtondsolutionsusing datascience.Foreg, thehealthcareindustry. ToConclude Dataisthenewdrivingfuelfororganizations.Hence,youneedtounderstandthetwoconcepts -dataanalyticsandanalysiscarefullytodrivebusiness growthbyincreasingROI. Tagsdata analyst training
ShareThis: RedditEmail Facebook Twitter LinkedIn Print Pleaseletusknowiftheinformationprovidedprovesuseful. RelatedPosts Exploremoreengagingcontents. ARTICLE Howthe SASTrainingProgramCanBeaGame-Changer:BoostYourAnalyticsSkills Intoday’srapidlyevolvingmarket,companiesareincreasinglyembracingthepowerofdata,relying ondata-drivenstrategiestostaycompetitive.
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