Tsebo ea Bo-rasaense ba Litsebi Bakeng sa Bolulo, Mangolo a Likopi le Lipuisano
Bo-rasaense ba litaba ba sebetsa liindastering tse fapa-fapaneng, ho tloha ho theknoloji ho ea ho mekhatlo ea mmuso.
Litšoaneleho bakeng sa mosebetsi lefapheng la saense li fapane, hobane sehlooho se le seholo. Leha ho le joalo, ho na le tsebo e itseng eo bahiri ba e batlang ka hoo e batlang e le rasaense e mong le e mong oa litaba. Bo-rasaense ba litaba ba hloka litsebi tsa lipalo-palo, tsa ho hlahloba le tsa ho ngola.
Mona ke lethathamo la bokhoni ba rasaense boitsebiso ba ho qalella, ho koahela mangolo, likopo tsa mosebetsi le lipuisano. E kenyelitsoe ke lenane le qaqileng la tsebo tse hlano tsa bohlokoa ka ho fetisisa litsebi tsa rasaense, hammoho le lenane le lelelele la tsebo e amanang haholoanyane.
Tsela ea ho Sebelisa Litsela tsa Tsebo
U ka sebelisa lintlha tsena tsa litsebo mosebetsing oa hau oa ho batla mosebetsi. Ntlha ea pele, u ka sebelisa mantsoe ana a nang le bokhoni ha u qala hape . Tlhaloso ea histori ea mosebetsi oa hau, u ka 'na ua batla ho sebelisa tse ling tsa mantsoe ana a bohlokoa.
Ea bobeli, o ka e sebelisa ka lengolo la hau la sekoahelo . Mofuteng oa lengolo la hau, u ka bolela tsebo e le 'ngoe kapa tse peli tsa tsena,' me u fane ka mohlala o itseng oa nako eo u bontšitseng tsebo eo ka eona mosebetsing.
Qetellong, u ka sebelisa mantsoe ana a nang le bokhoni ha u buisana. Etsa bonnete ba bonyane bonyane mohlala o le mong oa nako eo u ileng ua e bontša e 'ngoe le e' ngoe ea litsebo tse hlano tse hlahisitsoeng mona.
Ha e le hantle, mosebetsi o mong le o mong o tla hloka tsebo le liphihlelo tse sa tšoaneng, kahoo etsa bonnete ba hore u bala tlhaloso ea mosebetsi ka hloko, mme u tsepamise maikutlo ho tsebo e hlalositsoeng ke mohiri.
Hlahloba hape lethathamo la rona la tsebo tse hlalositsoeng ke mosebetsi le mofuta oa tsebo .
Tsebo e phahameng ho tse hlano tsa litsebi tsa litsebi
E hlalosang
Mohlomong bokhoni ba bohlokoa ka ho fetisisa ho rasaense oa litaba ke ho khona ho hlahloba boitsebiso. Bo-rasaense ba litaba ba lokela ho sheba, 'me ba utloisise hore na ho na le lintho tse ngata hakae tse fapaneng. Ba tlameha ho bona mekhoa le mekhoa ea data, mme ba hlalose mekhoa eo. Sena sohle se nka tsebo e matla ea ho hlahloba.
Boqapi
Ho ba rasaense ea litaba hantle ho boetse ho bolela ho ba motho ea bōpileng. Ntlha ea pele, u tlameha ho sebelisa bonono ho bona mekhoa ea data. Ntlha ea bobeli, o hloka ho etsa maqhama pakeng tsa lintlha tse ka 'nang tsa bonahala li sa amane. Sena se nka ho nahana haholo ka pōpo. Qetellong, o hloka ho hlalosa dintlha tsena ka litsela tse hlakileng ho batsamaisi ba k'hamphani ea hau. Hangata sena se hloka hore ho be le lipolelo tsa tlhaho le litlhaloso.
Puisano
Litsebi tsa bo-rasaense ha lia tlameha feela ho sekaseka data, empa li boetse li tlameha ho hlalosetsa ba bang dintlha tseo. Ba lokela ho tseba ho buisana le batho, ba hlalosetse bohlokoa ba litekanyetso, mme ba fana ka maikutlo a tharollo. Sena se kenyelletsa ho hlalosa litaba tse rarahaneng tsa theknoloji ka tsela e bonolo ho e utloisisa. Hangata ho buisana le data ho hloka tsebo ea ho bua, ea molomo le e ngotsoeng.
Mathematics
Le hoja litsebo tse bonolo tse kang tlhahlobo, ts'ebetso, le puisano ke tsa bohlokoa, tsebo e thata e boetse e bohlokoa ho mosebetsi. Setsebi sa litaba se hloka tsebo ea lipalo, haholo-holo ka multivariable calculus le algebra e nyenyane.
Lenaneo
Bo-rasaense ba litaba ba hloka tsebo ea motheo ea k'homphieutha, empa tsebo ea ho etsa liphuputso ke tsa bohlokoa haholo. Ho ba le bokhoni ba ho ngola ho bohlokoa ho hoo e ka bang leha e le efe boemo ba rasaense ea data. Tsebo ea lipuo tsa mananeo a kang Java, R, Python, kapa SQL ke tsa bohlokoa.
Data Scientist Skills
A-C
- Ho fetoha ha maemo
- Lintho tse hlakileng
- Tlhahlobo e nepahetseng
- E hlalosang
- Lisebelisoa tsa ho hlahloba
- Liphuputso
- AppEngine
- Ho tiisa
- AWS
- Dintlha tse kholo
- C ++
- Tšebelisano
- Puisano
- Tsebo ea k'homphieutha
- Ho theha Mehlala ea Boipelaetso
- Ho buisana
- Ho fetisa Boitsebiso ba Theknoloji ho Batho ba sa Tšebelisano
- CouchDB
- Ho theha Algorithms
- Ho hlahisa taolo ho tiisa hore ho nepahetse ha Dintlha
- Boqapi
- Tlhahlobo e Bohlokoa
- Ho hlaolela Likamano le Likarabello tsa ka hare le tsa ka ntle
- Tšebeletso ea bareki
D-J
- Lintlha
- Boitsebiso ba Lintlha
- Data Analytics
- Tlhahiso ea Dintlha
- Takatso ea Boitsebiso
- Data Data Tools
- Lisebelisoa tsa Lintlha
- Mining Data
- D3.js
- Ho etsa liqeto
- Liqeto tsa Lifate
- Ntlafatso
- Ho ngola
- Ho etsa tumellano
- ECL
- Ho hlahloba Mekhoa ea New Analytical Methodologies
- Ho sebetsana le Tikoloho e Potlakileng
- Ho hlophisa Liboka
- Lula
- Google Visualization API
- Hadoop
- HBase
- Matla a Phahameng
- Boitsebiso bo fumanehang boitsebiso bo fumanehang
- Ho hlalosa Dintlha
- Java
L-P
- Boetapele
- Linear Algebra
- Monahano o Utloahalang
- Mekhoa ea ho Ithuta ea Mochini
- Mekhoa ea ho Ithuta ka Mochini
- Mathematics
- Matlab
- Ho pheta-pheta
- Metrics
- Microsoft Excel
- Ho hlahisa Litaba tsa Boitsebiso ba Sechaba
- Litsebiso tsa moeta-pele
- Lisebelisoa tsa ho ipapisa
- Multivariable Calculus
- Perl
- Power point
- Tlhahiso
- Bothata ba ho rarolla
- Ho hlahisa litlhahiso tsa data
- Bookameli ba morero
- Mokhoa oa Tsamaiso ea Tsamaiso
- Morero oa nako ea morero
- Lenaneo
- Ho fana ka Tataiso ho Basebetsi ba IT
- Python
R-W
- R
- Raphael.js
- Ho tlaleha
- Reporting Tool Tool
- Lisebelisoa tsa ho tlaleha
- Litlaleho
- Lipatlisiso
- Lipatlisiso
- Mokhoa oa ho ipeha kotsing
- SAS
- Lipuo tsa Mangolo
- Boithati
- SQL
- Lipalo-palo
- Mekhoa ea ho ithuta ea Statistical
- Statistical Modeling
- Tlhokomelo
- Letlapa
- Ho nka bohato ba pele
- Ho hlahloba likhopolo-taba
- Koetliso
- Mantsoe
- Ho sebetsa ka boithaopo
- Ho ngola
Bala ka ho eketsehileng: Setsebi sa Boitsebiso Boitsebiso ba Jobo
Lihlooho tse amanang: Soft vs. Hard Skills | Kamoo U ka kenyelletsang lintlha tse hlalositsoeng ka Qetellong ea hau Lethathamo la Lintlha tsa Bohlokoa bakeng sa Libuka le Likoahelo tsa Mangolo Tsebetso ea Kopano | | Qala hape Lenane la Tsebo