Kudzoka muna 2012, HBR inonzi "scientist data" se "basa rakanyanyisa rezana remakore." Asi chii chinonzi data science inosanganisira zvechokwadi? Uye zvinonyanya kukosha, ungawana sei unyanzvi hunodiwa kuti uzviti iwe scientist data?
Chii chinonzi Data Science?
Kamwe pane imwe nguva, dhemasayendisiti yaive mune imwe nzvimbo yekudzidza. Iye zvino, nehuwandu hwemashoko makuru ekuunganidza uye kudiwa kwekuongororwa, deta masayendisiti ave achida zvakanyanya mumhando yekambani nemabhizimisi, maduku uye makuru.
Dhizivo yesayenzi semabasa inosanganisira hutano hwehutano mukati me mathematics, zvinyorwa uye purogiramu yemakombiyuta. Iko indasitiri inotungamirirwa nevarume, kuongororwa kwevakadzi mumasayense epasayenzi vari kusvika 10%.
Maererano naGreendoor, wevoruzhinji mubhadharo wepa data masayendisiti ndeye $ 113,436. Kutarisa pazvikwereti ndoga, data yesayenzi inonyanya kukoshesa kupfuura mamwe mabasa akadaro.
Unyanzvi Hunodiwa kuva Data Scientist
Kufanana nemabasa ose, unyanzvi hunokosha hunodiwa kuti uzadze dhiyabhorosi nzvimbo dzakasarudzwa zvinoenderana nekambani imwe neimwe.
Asi pane zvimwe zvikwereti / software zvishandiso zvinoramba zvisingaiti.
- Statistical programming languages , saR uye SAS
- Dhiyabhorosi inotsvaga mutauro wakadai seSQL
- Zvinyorwa zvinyorwa zvakadai semanhamba ekuongorora, kugoverwa, kukanganisa kwakanyanya kwehupenyu, nezvimwe zvakadaro
- Mitambo yekudzidza yakadai se-k-Nevavakidzani vepamunharaunda, masango asingasviki, maitiro ese pamwe chete, nezvimwe.
- Multivariable calculus uye algebra yakasiyana
- Dhipatimendi rekushandisa uye kukura kwezvitsva zvitsva zvinodhindwa nedheta
- Kuzivikanwa neHadoop platforming
- Zviratidzo zvekuona zvinhu zvakadai seFlare, HighCharts kana AmCharts
Nzira Yokuva Dhiyabhorosi Scientist
Mazuva ano, pane zvitatu zvingasarudzwa zvekuva scientist data:
- Kudzidzira-kudzidzira kuburikidza nemapurogiramu akadai Kuda
- Kuenda kune imwe data yesayiti boot camp
- Kuenda kuchikoro kuchikoro che master
Zvechokwadi, pane zvakagadzikana uye zvinopera kune imwe nzira.
Kudzidzira-Kudzidza
Pros:
- Zvinonzwisisika: zvinogona kuitwa panguva yako mumamiriro chero api zvayo uye chero ipi zvayo
- Inotengeswa: inogona kutengesa kubva kune $ 0-600.
- Inochengetedza nguva: mafundo emakambani anokwanisa kupedzerwa mukati memwedzi 8-18.
Cons:
- Ingogamuchira chiziviso kana wapedza
- Hapana vezera-kune-vezera kana mudzidzisi-kune-mudzidzi kubatanidzwa
- Hapana rubatsiro rwekuvhima basa
Data Science Boot Camp
Pros:
- Nguva shoma yekuzvipira: inogona kupedzerwa mumavhiki matanhatu kusvika kumwedzi mitatu
- Zvimwe zvisingabhadhari, zvichienzanisa nekuwana teji yepamusoro (makambani omudziyo anokonzerwa kubva pamusana - $ 16,000)
- Zvakanaka kune avo vanotarisira kuchinja basa nokukurumidza
- Makamende akawanda ehotera anobatsira mubasa rekutsvaga basa mushure mekupedzisa
Cons:
- Ingoga uwane purojekti yemapurojekiti - kwete "chaiyo" ruzivo rwebasa
- Zvakawanda zvokudzidza munguva shoma
- Zvinogona kusvika maawa makumi mana pavhiki yebasa (kusiyana nekuzviongorora-kwaunogona kuenda pane iwe pachako uye uchiri kushanda nguva yakazara / nguva yakazara)
Master's Degree
Pros:
- Diploma pakupera
- Kudzidza kwakagadzirirwa nevadzidzisi vakarovedzwa
- Zvechokwadi-ruzivo rwepasi: mapurogiramu mazhinji anosanganisira maitiro ezvichawedzera kune ruzivo uye ruzivo
- Nguva yakawanda yekudzidza nekuwana zvose zvese
Cons:
- Zvinodhura: zvinodhura pakati pe $ 20,000- $ 70,000 - kwete kusanganisira kurarama mari
- Nguva inopedza: inogonawo kutora yakareba (mwedzi 9-20)