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.

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.  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. 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. 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