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Examples of Projects to Include in Your Portfolio

ExcelR offers a cutting-edge Data Science Course designed to equip you with the skills needed to thrive in today's data-driven world.<br><br>Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai<br>Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, opposite Manas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602<br>Phone: 09108238354, <br>Email: enquiry@excelr.com<br>

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Examples of Projects to Include in Your Portfolio

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  1. ExamplesofProjectstoIncludeinYourPortfolio • Exploratory Data Analysis (EDA) Projects: • Retail Sales Analysis: • -Analyzearetaildatasettouncoversalestrends,seasonal patterns, and customerbehavior.DataScienceCourse.Includevisualizationsthathighlightkeyinsights,suchas sales performance over time, top-selling products, and customer demographics. • Health Data Analysis: • -PerformEDAonahealthcaredataset,suchaspatientrecordsorpublichealthdata.Explorecorrelationsbetweenvariables,identifytrends,andvisualizefindingsrelatedto health outcomes, disease prevalence, or treatment effectiveness. • Predictive Modeling Projects: • Customer Churn Prediction: • Buildamodeltopredictcustomerchurnforasubscription-basedservice.Use machinelearningalgorithmstoidentifyfactorscontributingto churn and create a model thatcanpredictwhichcustomersarelikelytoleave.Presentyour model's performance and key insights. • Stock Price Prediction: • Developatimeseriesforecastingmodeltopredictstockpricesusinghistorical financialdata.UtilizetechniqueslikeARIMA,exponentialsmoothing,orLSTMneural networks.Includevisualizationsofyourpredictionsandactualpricestodemonstrate model accuracy. • Data Cleaning and Preprocessing Projects: • Missing Data Imputation: • -Showcaseaprojectwhereyouhandlemissingdatainadataset.Demonstratevarioustechniquesforimputation,suchasmean/modeimputation,regressionimputation,orusingmachinelearningmodelstopredictmissingvalues.Explaintheimpactofdifferentmethodsonthe analysis. • Data Normalization and Transformation:

  2. -Presentaprojectfocusedondatatransformationandfeaturescaling.Usetechniqueslikelogtransformation,min-maxscaling,orZ-scorenormalizationonadataset.Showbefore-and-aftercomparisonstoillustratehowthesetransformationsimprove model performance. • SQL and Database Projects: • Database Design and Querying: • Createarelationaldatabaseschemaforabusinessscenario(e.g.,e-commerce, librarymanagement).WritecomplexSQLqueriestoextractmeaningfulinsightsfrom thedatabase,suchascustomerpurchasepatterns,inventorymanagement,or employee performance metrics. • DataWarehousingand ETL: • ImplementanETL(Extract,Transform,Load)pipelinetomovedatafrommultiple sourcesintoadatawarehouse.Demonstratehowyouhandledataextraction, transformation,andloadingprocesses.Includeexamplesofanalyticalqueriesrunon the data warehouse. • DataVisualizationandDashboardProjects: • Interactive Sales Dashboard: • BuildaninteractivedashboardusingTableau,PowerBI,oranothervisualization tool.Thedashboardshouldprovideanoverviewof key sales metrics, such as revenue, profitmargins,andsalesbyregion.Includeinteractiveelementslikefiltersand drill-down capabilities. • Public Data Visualization: • Createavisualizationprojectusingpublicdatasets(e.g.,COVID-19data,climate changedata,orcensusdata).Usevisualizationstotellacompellingstory,highlight trends,and present insights in an engaging and informative manner. • Additional Tips: • -Documentation and Presentation:

  3. -Ensureeachprojectiswell-documented,withclearexplanationsofyourmethodology,findings,andtheimpactofyouranalysis.DataScienceCourseinMumbai.UseJupyterNotebooksorsimilartoolstocombinecode,narrativetext,and visualizations. • Business Impact: • Emphasizethebusinessorreal-worldimpactofyourprojects.Explainhowyour analysis or model can help drive decision-making or solve a specific problem. • Continuous Updates: • Regularlyupdate your portfolio with new projects and improvements to existing ones. Thisshowsyourcommitmenttocontinuouslearningandstayingcurrentwithindustry trends. • Byincludingthesetypesofprojectsinyourportfolio, you caneffectively showcase your dataanalysisanddatascienceskills,makingyouamoreattractivecandidateto potential employers. • Businessname:ExcelR-DataScience,DataAnalytics,BusinessAnalyticsCourseTraining Mumbai • Address:304,3rdFloor,PratibhaBuilding.ThreePetrolpump,LalBahadurShastriRd, oppositeManasTower, Pakhdi,ThaneWest,Thane,Maharashtra400602 • Phone:09108238354, • Email:enquiry@excelr.com

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