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DATA SCIENCE IN PYTHON
The biggestandmost importantchallenge forcompaniesuntil2010 wasstorage issue.The primary
emphasiswasonbuildingstructure anddatastorage solutions.Now thatthe storage issue hasnow
beenresolvedbyHadoop andotherframeworks,concentrateonhandlingthe informationhasbeen
changed.The secretsauce here isData Science.All the conceptsyousee inscience fictionfilmsin
Hollywoodcanbe realizedbydatascience.Artificial Intelligence DataScience is the future.Itis
therefore essential toknowwhatdatascience is.
NEED OF DATA SCIENCE
The informationwe hadwasmostlyorganizedandtinyinsize,whichcouldbe analyzedusingthe easyBI
instruments.Unlike mostlystructuredinformationintraditionalsystems,todaymostinformationis
unstructuredorsemi-structured.Let'slookatthe informationtrendsinthe picture below,showingthat
more than 80% of the informationwillbe unstructuredby2020.
Thisinformationisproducedfromvarioussourcessuchaseconomicrecords,textfiles,multimedia
forms,sensors, andtools.Simple BItoolscannotprocessthisenormousvolume andinformationrange.
Thisis whymore complicatedandsophisticatedanalytical instrumentsandalgorithmsare neededto
process,analyze anddrawsignificantideasfromit.Herecomesthe needof datascience.
Why Data Science is preferred over other technologies
Data Science isa combinationof differentinstruments,algorithmsandprinciplesof machine learningto
discoverhiddenpatternsfromrawinformation.Initsmostfundamentalterms,datascience canbe
describedasacquiringideasandinformationfromdata,of importance.Like Othersectors,attempting
to setconcrete boundariesonitsdefinitionisoften temptingbutcounterproductive.Thisisthe science
of information.Datascience isdevelopingsorapidlyandhasalreadyshownsucha huge varietyof
possibilitiesthatitiscrucial to understandabroaderdefinition.
Andwhile pinningdownaparticular definitionisdifficult,itseffectisquite simpletosee andfeel.Data
science canleadto amazingfreshideaswhenappliedtodistinctareas.Andthe folksthatare usingitare
alreadyreapingthe benefits.Digital dataisthe informationthatanindividual doesnoteasilyinterpret
but reliesonmachinestointerpret,processandalterit.Aninstance of thisisthe words youreadon
your computerscreen.Infact,these digital lettersare asystematicsetof onesand zerosthatencodesin
differentshadesandata specificdensitytopixels.Digital datahasbecome soomnipresentandvital in
the latestyearsthat we have become almostreluctanttomanage anythingthatisnot ina digital form.
Data Analysis
Data analysis,the firstsubcategoryof datascience,isall aboutaskingquestions.Withacontemporary
informationscale,findingresponsesneedunique instruments,suchasSQL or Pythonor R. Theyenable
informationanalyststoaggregate andmanipulateinformationtothe extentthattheycan present
significantfindingsinamannerthat issimple tocomprehendbyanaudience.Althoughall elementsof
data science are true,data analysisdependsinspecificoncontext.Youneedtoknow how the
informationcame intobeingandwhatthe fundamental companyorprocessobjectivesare forexcellent
analytical worktobe done.Thiscontext'sripplesare partof whynearlynotwo rolesindata science are
preciselythe same.If youdidn'tknowhow thatplatformworked,youcouldn'tgooff and attemptto
understandwhyusersleftasocial mediaplatform.
ARTIFICIAL INTELLIGENCE
Artificial intelligence isamouthpiece thatcouldbe asbuzzy as data science (orevenmore).The
distinctionbetweendatascience andartificial intelligence canbe somewhatvague,andthe instruments
usedhave a lotof overlap.
Artificial intelligence inherentlywantssome sortof humaninteractionandismeanttobe somewhat
humanor "smart" inthe manneritperformsthose interactions.Thatinteraction,therefore,becomesa
basiccomponentof the product that an individual seekstoconstruct.Datascience ismore about
systemsof insightandconstruction.Itemphasizeslesshumaninteractionandmore intelligence,
suggestions,orperspectives.
Improve yourprogrammingabilitiesandimproveyourcapacitytowork withchaotic,difficultdatasets.
You'll learnhowto manipulate andprepare analyticalinformationand generateinformationscans.
Finally,yourinformationabilitieswillbe usedtotell adata tale.The PythonDataScience course at
“LIVEWIRE” providesyou strongknowledgeindatascience andanalysisusingPython.Youwill learnthe
vital principlesof Pythonprogrammingandacquire aprofoundunderstandingof informationanalysis,
machine learning,informationvisualization,internetscraping,andnatural language processingwiththis
PythonforData Science Course.Formanyrolesindatascience,Pythonisa necessaryexpert.

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DATA SCIENCE COURSE

  • 1. DATA SCIENCE IN PYTHON The biggestandmost importantchallenge forcompaniesuntil2010 wasstorage issue.The primary emphasiswasonbuildingstructure anddatastorage solutions.Now thatthe storage issue hasnow beenresolvedbyHadoop andotherframeworks,concentrateonhandlingthe informationhasbeen changed.The secretsauce here isData Science.All the conceptsyousee inscience fictionfilmsin Hollywoodcanbe realizedbydatascience.Artificial Intelligence DataScience is the future.Itis therefore essential toknowwhatdatascience is. NEED OF DATA SCIENCE The informationwe hadwasmostlyorganizedandtinyinsize,whichcouldbe analyzedusingthe easyBI instruments.Unlike mostlystructuredinformationintraditionalsystems,todaymostinformationis unstructuredorsemi-structured.Let'slookatthe informationtrendsinthe picture below,showingthat more than 80% of the informationwillbe unstructuredby2020.
  • 2. Thisinformationisproducedfromvarioussourcessuchaseconomicrecords,textfiles,multimedia forms,sensors, andtools.Simple BItoolscannotprocessthisenormousvolume andinformationrange. Thisis whymore complicatedandsophisticatedanalytical instrumentsandalgorithmsare neededto process,analyze anddrawsignificantideasfromit.Herecomesthe needof datascience. Why Data Science is preferred over other technologies Data Science isa combinationof differentinstruments,algorithmsandprinciplesof machine learningto discoverhiddenpatternsfromrawinformation.Initsmostfundamentalterms,datascience canbe describedasacquiringideasandinformationfromdata,of importance.Like Othersectors,attempting to setconcrete boundariesonitsdefinitionisoften temptingbutcounterproductive.Thisisthe science of information.Datascience isdevelopingsorapidlyandhasalreadyshownsucha huge varietyof possibilitiesthatitiscrucial to understandabroaderdefinition. Andwhile pinningdownaparticular definitionisdifficult,itseffectisquite simpletosee andfeel.Data science canleadto amazingfreshideaswhenappliedtodistinctareas.Andthe folksthatare usingitare alreadyreapingthe benefits.Digital dataisthe informationthatanindividual doesnoteasilyinterpret but reliesonmachinestointerpret,processandalterit.Aninstance of thisisthe words youreadon your computerscreen.Infact,these digital lettersare asystematicsetof onesand zerosthatencodesin differentshadesandata specificdensitytopixels.Digital datahasbecome soomnipresentandvital in the latestyearsthat we have become almostreluctanttomanage anythingthatisnot ina digital form. Data Analysis Data analysis,the firstsubcategoryof datascience,isall aboutaskingquestions.Withacontemporary informationscale,findingresponsesneedunique instruments,suchasSQL or Pythonor R. Theyenable informationanalyststoaggregate andmanipulateinformationtothe extentthattheycan present significantfindingsinamannerthat issimple tocomprehendbyanaudience.Althoughall elementsof data science are true,data analysisdependsinspecificoncontext.Youneedtoknow how the informationcame intobeingandwhatthe fundamental companyorprocessobjectivesare forexcellent analytical worktobe done.Thiscontext'sripplesare partof whynearlynotwo rolesindata science are preciselythe same.If youdidn'tknowhow thatplatformworked,youcouldn'tgooff and attemptto understandwhyusersleftasocial mediaplatform. ARTIFICIAL INTELLIGENCE
  • 3. Artificial intelligence isamouthpiece thatcouldbe asbuzzy as data science (orevenmore).The distinctionbetweendatascience andartificial intelligence canbe somewhatvague,andthe instruments usedhave a lotof overlap. Artificial intelligence inherentlywantssome sortof humaninteractionandismeanttobe somewhat humanor "smart" inthe manneritperformsthose interactions.Thatinteraction,therefore,becomesa basiccomponentof the product that an individual seekstoconstruct.Datascience ismore about systemsof insightandconstruction.Itemphasizeslesshumaninteractionandmore intelligence, suggestions,orperspectives. Improve yourprogrammingabilitiesandimproveyourcapacitytowork withchaotic,difficultdatasets. You'll learnhowto manipulate andprepare analyticalinformationand generateinformationscans. Finally,yourinformationabilitieswillbe usedtotell adata tale.The PythonDataScience course at “LIVEWIRE” providesyou strongknowledgeindatascience andanalysisusingPython.Youwill learnthe vital principlesof Pythonprogrammingandacquire aprofoundunderstandingof informationanalysis, machine learning,informationvisualization,internetscraping,andnatural language processingwiththis PythonforData Science Course.Formanyrolesindatascience,Pythonisa necessaryexpert.