E N D
ExcelR'sDataSciencecourseisacomprehensiveprogramdesignedtoequipindividualswith theskillsandknowledgerequiredtothriveintherapidlyevolvingfieldofdatascience.Whether you'reanoviceeagertoexploretheworldofdataoranexperiencedprofessionalseekingto deepenyourexpertise,thiscourseprovidesastructuredlearningpathtailoredtomeetindustry demands. • CourseOverview: • FundamentalsofDataScience: • Introductiontodatascience,itsimportance,andapplicationsacrossvariousindustries. • Understandingdifferenttypesofdata(structured,unstructured,semi-structured)and data formats. • BasicsofprogramminglanguagessuchasPythonandR,essentialfordatamanipulationand analysis. • Overviewofkeystatisticalconceptsandprobabilitytheory. • DataWranglingandPreprocessing: • Techniquesfordata cleaning,transformation, and normalization. • Handlingmissingvaluesandoutliers. • ExploratoryDataAnalysis(EDA)togaininsightsintodatadistributions,correlations, and patterns. • MachineLearningFoundations: • Introductiontomachinelearningconcepts,algorithms,andworkflows. • Supervisedlearningtechniquesincludingregression,classification,andensemblemethods. • Unsupervisedlearningalgorithmssuchas clusteringanddimensionalityreduction. • Modelevaluationandvalidationtechniquestoassesspredictiveperformance. • AdvancedMachineLearningandDeepLearning: • Deepdiveintoadvancedmachinelearningalgorithmsincludingneuralnetworks,support vectormachines,anddecisiontrees. • IntroductiontodeeplearningframeworkslikeTensorFlowandKeras. • Hands-onexperiencewithbuildingandtrainingdeeplearningmodelsforimageclassification, naturallanguageprocessing(NLP),andothertasks. • DataVisualizationandInterpretation: • Datavisualizationprinciplesandbestpractices. • Toolsand librariesforcreating interactiveand informativevisualizations, including Matplotlib, Seaborn,andTableau. • Communicatinginsightseffectivelythroughvisualstorytelling. • 6.BigDataAnalyticsandTools: • -IntroductiontobigdatatechnologiessuchasHadoop,Spark,andHive.
Hands-onexperiencewithprocessingandanalyzinglarge-scaledatasetsusingdistributed computingframeworks. • Understandingthechallengesandopportunitiesofworkingwithbigdata. • Real-worldApplicationsandProjects: • Applicationofdatasciencetechniquesindomainssuchasfinance,healthcare,marketing,and e-commerce. • Hands-onprojectsandcasestudiesbasedonrealdatasetstosolvepracticalbusiness problems. • Industryinsightsandguestlecturesfromdatascienceprofessionalstounderstandreal-world applicationsandchallenges. • CapstoneProject: • Acomprehensivecapstoneprojectthatintegratesalltheconceptslearnedthroughoutthe course. • Workonareal-worlddatascienceproblem,fromdatacollectionandpreprocessingtomodel buildingandevaluation. • Presentyourfindingstopeersandindustryexpertsforfeedbackandevaluation. • KeyBenefitsoftheCourse: • ComprehensiveCurriculum:ExcelR'sDataSciencecoursecoversawiderangeoftopics, ensuringparticipantsacquireaholisticunderstandingofdatascienceprinciplesandtechniques. • Hands-onLearning:Thecourseemphasizespracticallearningwithhands-onexercises, projects,andreal-worldcasestudies.Participantsgainvaluableexperienceworkingwithreal datasetsandsolvingcomplexdatascienceproblems. • ExpertFaculty:Learnfromexperienceddatascientistsandindustryprofessionalswhobring theirexpertiseandreal-worldinsightsintotheclassroom.Receivepersonalizedguidanceand mentorshipthroughoutthecourse. • CareerOpportunities:Uponcompletion ofthecourse,participants willbewell-equippedto pursuerewardingcareersasdatascientists,machinelearningengineers,dataanalysts,or relatedrolesinvariousindustries. • NetworkingOpportunities:Interactwithpeers,instructors,andindustryprofessionals to expandyourprofessionalnetwork.ExcelR'sstrongalumninetworkprovidesopportunitiesfor networking,collaboration, andcareer advancement. • Flexibility:Thecourseoffersflexiblelearningoptionsincludingweekdayandweekend batches,allowingparticipantstobalancetheirlearningwithothercommitments. • WhoShouldAttend:
Aspiringdatascientistslookingtoenterthefieldofdatascience. • Professionalsseekingtotransitionintodatasciencerolesfromrelatedfieldssuchassoftware development,statistics,orbusinessanalytics. • Anyoneinterestedingainingpracticalskillsindatasciencetoleveragedataforinformed decision-makingandproblem-solving. • Conclusion: • ExcelR'sDataSciencecourseinmumbaiprovidesacomprehensivelearningexperiencethat preparesindividualsforsuccessinthedynamicfieldofdatascience.Withablendoftheoretical knowledge,practicalskills,andindustryinsights,participantsemergeasproficientdatascientistsreadytotacklecomplexdatachallenges.JoinExcelR'sDataSciencecoursetodayandunlockyourpotentialintheworldofdatascience! • BusinessName:ExcelR-DataScience,DataAnalytics,BusinessAnalystCourseTraining Mumbai • Address:Unitno.302,03rdFloor,AshokPremises,OldNagardasRd,NicolasWadiRd, • MograVillage,GundavaliGaothan,AndheriE,Mumbai,Maharashtra400069,Phone: 09108238354,Email:enquiry@excelr.com.