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FUTURE OF DATA SCIENCE IN INDIA

DATA SCIENCE
It is a tool that uses all kinds of data, algorithms and scientific methods. It is a very important tool as it combines two of the most important things in technology and modern science that is mathematics and computer science together. Organizing, data delivery and packaging are the three most important components involved in data science. Data Science handles data works on them and makes conclusion based on the data.

FUTURE OF DATA SCIENCE IN INDIA

DATA SCIENCE
It is a tool that uses all kinds of data, algorithms and scientific methods. It is a very important tool as it combines two of the most important things in technology and modern science that is mathematics and computer science together. Organizing, data delivery and packaging are the three most important components involved in data science. Data Science handles data works on them and makes conclusion based on the data.

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Datascienceindia article

  1. 1. FUTURE OF DATA SCIENCE ININDIA DATA SCIENCE It isa tool that usesall kindsof data,algorithmsandscientificmethods.Itisaveryimportanttool as it combinestwoof the mostimportantthingsintechnologyandmodernscience thatismathematicsand computerscience together.Organizing,datadeliveryandpackagingare the three mostimportant componentsinvolvedindatascience.DataScience handlesdataworksonthemand makesconclusion basedon the data. ProspectsOf Data Science Use of analytics(data)hasledtoanincrease injobsof data sciencesbyalmost50% inalmostevery industry. These are the majorindustrieswithademandindatascientists E-Commerce Thisindustryrequiresscientiststhe most.The predictionof purchases,manipulationof customersand productrecommendationsandtrackingtheirsearchesare all done bydatascientists. Manufacturing Increasingprofit,productivityandtolessenthe riskare the usesinwhichdatascience affects manufacturing. Here are fewexamples onhowcan Data Science be utilizedtoboostoutput,streamline operations,and predicttrends:  Performance,qualityassurance,anddefecttrackingare all importantfactorsto consider.  Maintenance thatisboth predictive andconditional  Forecastingdemandandthroughput
  2. 2.  Relationswithsuppliersandthe supplychain  Pricingonthe global market  Designingnewfacilitiesandautomatingexistingones  For productdevelopmentandproductiontechniques,new technologiesandmaterialsare being developed.  Greaterenergyefficiencyandsustainability Banking and Finance Afterthe crisisof 2008, thisindustryisgrowingveryfast.Banksare one of the earliestsectorstoadopt IT for securityandcomputing.The use of technologyhelpsthemto analyze andcatertotheircustomers and meettheirdemandsandexpectations.The use of datascience can leadto riskmanagementand managementof fraud. Healthcare and Medical Healthcare providershave beengivenaboostbecause of use indata science. Informationfromsmart bands,clinics,hospitalsandchemistshelphealthcare providersunderstandwhatcustomerswantand create betterservicesandproducts. Data Science infuture canhelpdoctorsperformoperationswiththe use of Artificial Intelligence and Machine Learning. Transportation Industry Thisindustryutilizesalotof data.Travel agentscan use the data fromsearchesdone bypeople to create specifictravel packagestoattract people towardstheircompany. Data Science can helpinticketingandfare collectingsystemsaswell.
  3. 3. Job Rolesin Data Sciences Let's take a lookat some of the mostin-demandDataScience positions.A businessanalyst,data scientist,statistician,ordataarchitectare examplesof datascience employmentforfreshers. Big Data Engineer:Withinenterprises,bigdataengineersbuild,maintain,test,andanalyze bigdata solutions. Machine LearningEngineer:Machine learningengineersare responsiblefordesigningandimplementing machine learningalgorithmsandsystemstosolve businessproblems. Data engineers/architectsdesign,build,test,andmaintainhighlyscalable datamanagementsystems. Data Scientist:Datascientistsmustcomprehendbusinessdifficultiesandprovide the finestsolutions throughdata analysisandprocessing. Statistician:Usingdatavisualizationtoolsorreports,the statisticiananalysesthe resultsandmakes strategicrecommendationsorincisivepredictions. Data Analysts:Data analystsworkwithdatato manipulate itandvisualizeit. Businessanalystsconvertcomplex dataintoclearlyunderstandable actionableinsightsforusersthrough predictive,prescriptive,anddescriptiveanalysis. AVERAGE Salaries of Data Scientists: The Salary of Data Scientists depend on the qualifications, experience and their profiles. The table below shows the salaries based on the job profile .
  4. 4. JOB SALARY Software Engineer 2,51,000 – 10,00,000 Data Analyst 1,97,000 - 9,12,000 Senior Software Engineer 4,64,000 – 20,00,000 Data Scientist 3,37,000 - 20,00,000 Software Developer 2,06,000 – 10,00,000 Sr. Software Engineer/Developer/Programmer 4,13,000 - 20,00,000 Senior Business Analyst 4,29,000 – 20,00,000 Business Analyst, IT 2,86,000 – 10,00,000 Senior Data Analyst 3,10,000 - 10,00,000 Software Engineer/Developer/Programmer 2,32,000 – 10,00,000 Companiesthat recruit data scientists  Amazon  LinkedIn  IBM  Walmart Labs  Busigence Technologies  Fractal Analytics  Sigmoid  Flipkart  Mate Labs  Couture CONCLUSION There isa brightfuture of data science inIndia.Itsgrowthcan leadto more jobopportunitiesandcan helpbusinessesreachbiggerheightsandhelpthemcatertocustomersbasedontheirpreferences. Its incorporationincompanieswill helpemployeesandcustomersasthe companiesemployeeswill knowwhatare the preferencesof the customersandthe customerswill getbetterproductsand services. Data Science Courses

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