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BASIC RULES OF RUNNING DATA SCIENCE

Data science is the learning of data it involves developing methods of reporting storing and analyzing data to effectively extract useful top make an informed decision the goal of data science is to gain insight and knowledge from any type of data for both structured and unstructured.

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BASIC RULES OF RUNNING DATA SCIENCE

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  1. DATASCIENCE ByWebbrains

  2. WhatisDataScience? Datasciencecontinuestoevolveasoneof the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand thattheymustadvancepastthetraditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returnsateachphaseoftheprocess.

  3. TheDataScienceLifecycle

  4. TheDataScienceLifeCycle Capture:DataAcquisition,DataEntry,SignalReception,DataExtraction.Thisstage involvesgatheringrawstructuredandunstructureddata. Maintain: Data Warehousing, Data Cleansing, Data Staging, Data Processing, Data Architecture.Thisstagecoverstakingtherawdataandputtingitinaformthatcan beused. Process: Data Mining, Clustering/Classification, Data Modeling, Data Summarization.Datascientiststaketheprepareddataandexamineitspatterns, ranges,andbiasestodeterminehowusefulitwillbeinpredictiveanalysis. Analyze:Exploratory/Confirmatory,PredictiveAnalysis,Regression,TextMining, Qualitative Analysis. Here is the real meat of the lifecycle. This stage involves performingthevariousanalysesonthedata. Communicate:DataReporting,DataVisualization,BusinessIntelligence,Decision Making. In this final step, analysts prepare the analyses in easily readable forms suchascharts,graphs,andreports

  5. HowDoesDataScienceWork? Data science involves a plethora of disciplines and expertise areas to produce a holistic, thorough and refined look into raw data. Data scientistsmustbeskilledineverything fromdataengineering,math,statistics, advanced computing and visualizations to be able to effectively sift through muddled masses of informationandcommunicateonlythe most vital bits that will help drive innovationandefficiency.

  6. WhyBecomeaDataScientist? Glassdoor ranked data scientist among the top threejobsinAmericasince2016.4Asincreasing amountsofdatabecomemoreaccessible,large tech companies are no longer the only ones in needofdatascientists.Thegrowingdemandfor datascienceprofessionalsacrossindustries,big and small, is being challenged by a shortage of qualified candidates available to fill the open positions. Theneedfordatascientistsshowsnosignof slowing down in the coming years. LinkedIn listed data scientist as one of the most promising jobs in 2021, along with multiple data-science-related skills as the most in- demandbycompanies.

  7. CAREERINDATASCIENCE Data science professionals are rewarded for their highly technical skill set with competitive salaries and great job opportunities at big and small companies in most industries. With almost 6,000 open positions listed on Glassdoor, data science professionals with the appropriate experience and educationhavetheopportunitytomaketheirmarkinsomeofthemostforward-thinkingcompaniesin theworld. Belowaretheaveragebasesalariesforthefollowingpositions: Dataanalyst:$69,517 Data scientist: $117,212 Seniordatascientist:$142,258 Dataengineer:$112,493 Gainingspecializedskillswithinthedatasciencefieldcandistinguishdatascientistsevenfurther.For example, machine learning experts utilize high-level programming skills to create algorithms that continuouslygatherdataandautomaticallyadjusttheirfunctiontobemoreeffective.

  8. SKILLSREQUIRED BECOME A DATA SCIENTIST Therearecertainprogramminglanguagesneededto analyzethedataandtoexhibitinanexemplaryway. One needs to gain a good knowledge of python to become a good data scientist. For data management purposeyouneedtohaveknowledgeabout MySQL. Youshouldhavegoodknowledgeofdatavisualization andbesidethis,itwouldbegreatifyouhaveagripon reportingandwritingskills.

  9. THANKYOU!! ToGetMoreInformationAboutData ScienceJoinUsAtWebbrains. E-73,SouthExtension Part-1 NewDelhi-110049 India +918892636363 info@webbrains.com

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