Kunezitifiketi eziningi zokuhlaziywa kwedatha ku-inthanethi kodwa ngezinye izikhathi kunzima ngempela ukuhlonza ezinye zezinto ezihamba phambili kuzo zonke lezi zitifiketi zokuhlaziya idatha eku-inthanethi.
Ukuhlaziywa kwedatha kungenye yezimboni ezikhula ngokushesha nedingeka kakhulu namuhla. Inkampani yocwaningo lwemakethe iGartner iphrojekthi yokuthi ukusetshenziswa kwebhizinisi kudatha nezixazululo zezibalo kuzofinyelela ku- $189 billion ngo-2022, kusuka ku-$150 billion ngo-2019.
Ngo-2025, imakethe yedatha enkulu yomhlaba wonke kulindeleke ukuthi ibe ngama- $ 103 billion.
Isidingo esikhulayo sochwepheshe besayensi yedatha sisho ukuthi abantu abaningi kunangaphambili abenza izifundo zokuhlaziya idatha eziku-inthanethi. Njengenzuzo eyengeziwe, eziningi zalezi zifundo zinikeza isitifiketi noma imininingwane ukuze ikusize uvelele.
Uma ucabanga ukuthatha a isifundo sesitifiketi, sikuphathele. Sihlanganise uhlu lwezitifiketi zokuhlaziya idatha ezingu-20 ezihamba phambili ku-inthanethi ukuze zikusize uqalise. Kodwa ngaphambi kwalokho, asiqinisekise ukuthi sisekhasini elifanayo.
Okuqukethwe
Kuyini Idatha Yezibalo?
Ukucubungula nokuhlaziywa kwezibalo kwamasethi edatha akhona kuyisihloko sokuhlaziywa kwedatha. Abahlaziyi bagxile ekuthuthukiseni izindlela zokuthwebula, ukucubungula, nokuhlela idatha ukuze kutholwe imininingwane engenzeka yezinkinga zamanje, kanye nokunquma indlela engcono kakhulu yokuxhumana nalolu lwazi.
Kalula nje, idatha nezibalo ziphathelene nokuthola izixazululo ezinseleleni esingenaso isiqiniseko sezimpendulo zazo. Iphinde iqondiswe ekuletheni imiphumela engaholela ezinzuzweni ezisheshayo.
Ukuhlaziywa kwedatha futhi kufaka phakathi amanye amagatsha ambalwa ezibalo ezinkulu nokuhlaziya okusiza ekuhlanganiseni imithombo yedatha ehlukene kanye nokutholwa kokuxhumana kuyilapho kwenziwa imiphumela ibe lula.
Izinzuzo Zezibalo Zedatha
Ukuhlaziya idatha enkulu kunezinzuzo ezimbalwa zamabhizinisi namuhla.
Ukuhlaziya idatha kusiza ku:
- Ukwenza izinqumo ezingcono,
- Inika amandla ukulawulwa kobungozi okusebenzayo,
- Ithuthukisa ulwazi lwamakhasimende, futhi
- Inyusa inani lomkhiqizo.
Ngokubuka lezi zinzuzo, kunesidingo esikhulayo sochwepheshe abanamakhono emkhakheni wokuhlaziya idatha.
Laba ochwepheshe kulindeleke ukuthi bangabi nolwazi lwethiyori kuphela kodwa futhi babe nolwazi olungokoqobo mayelana nokuhlaziya idatha enkulu.
Ukuqinisekisa lokhu, abaqashi bafuna amakhandidethi athole ukuqeqeshwa noma izifundo zokunikeza izitifiketi ezinikeza ukuchayeka okungokoqobo endabeni yesifundo.
Ngokungeziwe ekwazini ukuhlaziya idatha, lezi zingcweti kufanele futhi zikwazi ukudala ukubonwa okufundisayo kwaleyo datha ukuze abasebenzisi abangebona abezobuchwepheshe nabo bayiqonde. Yilapho amathuluzi afana ne-Tableau engena khona. Lawa mathuluzi akuvumela ukuthi udale amashadi asebenzisanayo, amagrafu, amagrafu, namathebula axoxa indaba emayelana nokusebenza kwenhlangano yakho ngokusekelwe kuzikhombisi zayo zokusebenza ezibalulekile (KPIs).
I-Data Analytics Versus Data science
Isayensi Yedata kanye ne-Data Analytics zombili zisebenzisana ne-Big Data, kodwa ngezindlela ezihlukene. Isayensi Yedatha yitemu elibanzi elihlanganisa kokubili ukuhlaziya idatha nesayensi yedatha.
Izibalo, Izibalo, Isayensi yekhompyutha, Isayensi Yolwazi, Ukufunda Ngomshini, kanye Nobuhlakani Okwenziwayo konke kufakwe kuSayensi Yedatha.
Ukumbiwa kwedatha, ukubikezela kwedatha, ukubikezela imodeli, nokuthuthukiswa kwe-algorithm yokufunda komshini konke kusetshenziselwa ukuthola amaphethini kumadathasethi amakhulu futhi kuwenze amasu ebhizinisi aphusile. Ukuhlaziywa kwedatha, ngakolunye uhlangothi, kugxile kakhulu Izibalo, Izibalo, Nokuhlaziywa Kwezibalo.
I-Data Analytics ihloselwe ukuveza imininingwane ethile ekhishiwe, kuyilapho Isayensi Yedatha igxile ekwembuleni ukuhlobana okubalulekile phakathi kwamadathasethi amaningi.
Ukukubeka ngenye indlela, i-Data Analytics iyisethi engaphansi ye-Data Science egxile ezixazululweni ezinemininingwane eminingi ezindabeni eziphakanyiswa yi-Data Science.
Isayensi Yedatha ihlose ukuthola izindaba ezintsha nezithandekayo ezingasiza amabhizinisi asungule. Ngakolunye uhlangothi, ukuhlaziywa kwedatha kuhloswe ukuthola izimpendulo zale mibuzo futhi kunqume ukuthi zingasetshenziswa kanjani ngaphakathi kwenkampani ukuze kugqugquzelwe ukuqanjwa kabusha okuqhutshwa yidatha.
Uhlu Lwezitifiketi Ezingcono Kakhulu Zokuhlaziya Idatha Ku-inthanethi
Ngezansi uhlu lwezitifiketi ezihamba phambili ze-inthanethi ze-Data Analytics:
- I-SAS Advanced Analytics Professional Certification
- I-SAS Certified Data Curation Professional
- I-DASCA: Usosayensi Omkhulu Wedatha
- I-Microsoft Certified: I-Azure Data Scientist Associate
- Isitifiketi Sochwepheshe se-IBM Data Science
- Isitifiketi Sobungcweti se-Data Science ye-HarvardX
- I-Coursera: I-Data Science Specialization kaJohn Hopkins University
- Uhlelo lwe-EdX Big Data MicroMasters
- I-Udacity Business Analytics Nanodegree
- Ukuhlaziywa Kwedatha ye-DataCamp ku-Excel.
Izitifiketi eziyi-10 zokuhlaziya idatha ezihamba phambili ku-inthanethi
1. I-SAS Advanced Analytics Professional Certification
Leli izinga eliphezulu isitifiketi sesayensi yedatha ehlinzekwa yi-SAS Academy for Data Science, futhi ihlanganisa izihloko eziningi njengezibalo, ukuhlaziya okubukwayo, ukuhlehla kwezinto, izisekelo ze-Hadoop, ukumbiwa kwedatha, nokunye.
Abafundi kumele okungenani babe nesipiliyoni sezinhlelo zezinyanga eziyisithupha ngaphambi kokufaka isicelo sokuthola isitifiketi, esihlanganisa izifundo eziyisishiyagalolunye nezivivinyo ezintathu.
Ngenxa yokuba semthethweni kwenkundla nokufakwa kabanzi kwezihloko eziningi zesayensi yedatha, abaningi babheka lesi njengesitifiketi esikhulu kunazo zonke sesayensi yedatha.
2. I-SAS Certified Data Curation Professional
Ukuze ivumelane nezitayela zokufunda ezihlukene zabahlanganyeli, Isitifiketi Sedatha Enkulu ye-SAS sinikeza kokubili ukuqeqeshwa okuholwa ngumfundisi kanye nezindlela zokufunda ezizihambelayo zokufunda nge-e-learning.
Ngaphambi kokubhalisa, abafundi kufanele babe nokuqonda okuqinile kokuhlela, okuhlanganisa namasu okukhohlisa idatha kanye ne-SQL.
Amathuluzi okuphatha idatha kanye ne-Hadoop kuphakathi kwezihloko ezihlanganisiwe. Kunezifundo ezine zokuqeqesha kanye nokuhlolwa okukodwa kuphela kuleli phakethe.
Isitifiketi Sokucushwa Kwedatha, njengezinye izitifiketi ze-SAS, siyisevisi esekelwe kokubhaliselwe ekunikeza ukufinyelela efwini unyaka wonke ngaphambi kokuthi uyivuselele.
3. I-DASCA: Usosayensi Omkhulu Wedatha
I-Data Science Council of America, noma i-DASCA, ingumthombo oholayo wezitifiketi zesayensi yedatha ezaziwa emhlabeni wonke. Iziqinisekiso zayo ze-SDS (Senior Data Scientist) kanye ne-PDS (Principal Data Scientist) ziphakathi kwezidume kakhulu emhlabeni kososayensi bedatha. Bheka ukuthi kanjani ube usosayensi wedatha oneziqu ze-bachelor.
Abafundi abavela emikhakheni eyahlukene, okuhlanganisa nokuphathwa kwebhizinisi, ezezimali, izibalo, nobuchwepheshe, bangathatha ithuba lesikhungo sokunikeza isitifiketi sesayensi yedatha esimaphakathi, izinhlelo ezijulile, zesitifiketi esijulile.
4. I-Microsoft Certified: I-Azure Data Scientist Associate
Uyafuna ukuqonda ukuthi ungakha futhi uqalise kanjani imithwalo yokufunda yomshini? Isitifiketi se-Azure Data Scientist Associate esivela kuMicrosoft ngesakho.
Ingxenye engcono kakhulu ngalesi sitifiketi se-Microsoft ukuthi ungasifunda mahhala usebenzisa amathuluzi okufunda e-Microsoft, nokho, kukhona nezinketho ezikhokhelwayo, eziholwa ngabafundisi ezitholakalayo. Isitifiketi sihlanganisa izixazululo ze-AI, ukucubungula ulimi lwemvelo, nokufunda ngomshini.
5. Isitifiketi Sochwepheshe se-IBM Data Science
I-IBM Data Science Professional Certificate ingenye imininingwane ewusizo yedatha eku-inthanethi. Abafundi abafisa ukuqala imisebenzi yabo yobungcweti yesayensi yedatha bangase bacabangele uhlelo lokuthola isitifiketi sesayensi yedatha lezinga labaqalayo.
Isitifiketi sihlanganisa isingeniso sesayensi yedatha ngokufunda komshini, i-python, amathuluzi omthombo ovulekile, kanye ne-SQL phakathi nezifundo eziyisishiyagalolunye.
Izifundo zabo zingaqedelwa ngesikhathi sakho, kuyilapho abathuthukisi bezifundo bencoma ukuthi uziqede ezinyangeni ezintathu.
6. Isitifiketi Sobungcweti se-Data Science ye-HarvardX
I-HarvardX inikeza izifundo ezihlukene ze-inthanethi eziklanyelwe ukusiza osolwazi bathuthukise ukufundisa nokufunda ngokusebenzisa i-campus kanye nezindlela ze-inthanethi.
NgeSitifiketi Sochwepheshe se-Data Science ye-HarvardX, uzofunda izisekelo zesayensi yedatha njengo-R nokufunda ngomshini ngezifundo zezwe langempela.
Isitifiketi sesayensi yedatha ye-HarvardX sinikeza abafake izicelo ulwazi namakhono abawadingayo ukuze baxazulule izinselele zomhlaba wangempela zokuhlaziya idatha.
Izifundo eziyisishiyagalolunye ezakha isitifiketi sochwepheshe sesayensi yedatha zihlanganisa izihloko ezifaka ukubona ngeso, ukufunda ngomshini, ukuhlehla komugqa, amathuba, ukuphikisana kwedatha, nokuningi.
7. I-Coursera: I-Data Science Specialization kaJohn Hopkins University
Lesi sitifiketi se-Coursera, esinikezwa i-John Hopkins University, silungele izimfundamakhwela ezifisa ukufunda indlela yokwakha umkhiqizo wedatha, ukukhiqiza iziphetho eziqhutshwa idatha, nokuzilolongela ukufunda ngomshini.
Ngaphambi kokujoyina, abafundi kufanele babe nokujwayela okuyisisekelo ngePython.
Izifundo zimahhala, kodwa abantu abafuna ukuthola izitifiketi kungase kudingeke bakhokhe imali encane, njengoba izitifiketi eziningi ze-Coursera ziqala ku-$50.
8. Uhlelo lwe-EdX Big Data MicroMasters
Lesi sifundo siyingxenye yohlelo lwe-Big Data MicroMasters futhi sizokusiza uthuthukise amakhono akho okuhlela nezibalo ngenkathi ufunda ngezibalo ezinkulu zedatha.
Kulesi sifundo, uzofunda ukugcina, ukuphatha, nokuhlaziya idatha ukuze wenze izinqumo ezingcono zebhizinisi ezweni lanamuhla ledijithali.
Uzofunda ukusebenzisa ubuchwepheshe obufana ne-Apache Spark ne-R, okungamathuluzi abalulekile okuhlaziya. Uzokwazi ukubhekana nezinselelo ezinkulu zesayensi yedatha ngobuchule nesinyathelo sokuqala ekupheleni kwalesi sifundo.
9. I-Udacity Business Analytics Nanodegree
Uzothola amakhono edatha ayisisekelo angasetshenziswa kuyo yonke imisebenzi nezimboni kulolu hlelo. Uzofunda indlela yokusebenzisa i-Excel ukuze uhlaziye idatha futhi wakhe amamodeli, i-SQL ukuze ubuze imininingwane yolwazi, kanye ne-Tableau ukuze udale ukubonwa kwedatha okufundisayo.
Azikho izimfuneko zalolu hlelo lokufunda oluyisisekelo.
I-Udacity incoma ukuthi ube nekhono lekhompyutha ngaphambilini futhi ukwazi ukulanda nokufaka isofthiwe ukuze uphumelele.
10. Ukuhlaziywa Kwedatha ye-DataCamp ku-Excel
Kulesi sifundo, uzofunda ukuthi uzisebenzisa kanjani izinqamuleli zekhibhodi ezonga isikhathi, uguqule futhi uhlanze amafomethi edatha afana nombhalo, izikhathi, nezinsuku, futhi udale imisebenzi enengqondo emangalisayo nokuhlanganisa okunemibandela kuyilapho ufunda ukuthi ungasebenzisa kanjani izinqamuleli zekhibhodi ezonga isikhathi.
Uzoba yingcweti ngaphezu kwemisebenzi emisha ye-Excel engu-35, ehlanganisa i-CONCATENATE, i-VLOOKUP, ne-AVERAGEIF(S), kanye nokusebenza nedatha ye-Kickstarter yomhlaba wangempela ukuze uhlole ukuthi yini eyenza iphrojekthi ibe yimpumelelo, ngokuzijwayeza ngezandla.
Imibuzo Evame Ukubuzwa mayelana Nesitifiketi Se-inthanethi se-Online Data Analytics
Lingakanani inani lesitifiketi se-Data Analytics?
Isitifiketi se-Data Analytics Sifanelekile, Yebo! uma ufuna umsebenzi wokuhlaziya idatha. Isitifiketi sokuhlaziya idatha sizokunikeza wonke amakhono adingekayo nolwazi ukuze uthole umsebenzi njengomhlaziyi wedatha.
Kungenzeka yini ukuthi umhlaziyi wedatha asebenze ngokuzimela?
I-Freelancing ingenye yezindlela ezingcono kakhulu zososayensi bedatha namuhla, kubo bobabili abasanda kuhlanganyela nochwepheshe. Njengomsebenzi ozimele wesayensi yedatha, unokuvumelana nezimo okuningi mayelana nokukhethwa kwephrojekthi, ukuphathwa kwesikhathi, kanye nokukhokha. Futhi inketho enhle kakhulu yabaqalayo abafuna ukuthola ulwazi olunzulu ngokusebenza kumaphrojekthi omhlaba wangempela.
Ingabe i-Data Analytics iwumsebenzi othembisayo?
Yebo, ukuhlaziya idatha kuwumsebenzi ohlakaniphile owukhethayo ngoba idatha isiyingxenye ebalulekile yenqubo yokuthatha izinqumo yanoma iyiphi imboni. Ngenxa yalokho, abahlaziyi bedatha badingeka kakhulu, okubenza babe ngenye yezinketho eziphezulu zemisebenzi.
Ingabe sikhona isidingo sokubhala ngekhodi ekuhlaziyeni idatha?
Abakwenzi, uma sikhuluma iqiniso. Abahlaziyi bedatha akudingekile ukuthi babhale njengengxenye yezibopho zabo zansuku zonke. Imisebenzi elula yokuhlaziya idatha, njengokuhlola amathrendi edatha ye-Google Analytics, ngokuvamile ayidingi ukudala ikhodi.
I-SQL idlala yiphi indima ekuhlaziyeni idatha?
I-SQL 'inyama namazambane' yokuhlaziywa kwedatha yabantu abaningi-esetshenziselwa ukufinyelela, ukuhlanza, nokuhlaziya idatha equkethwe kusizindalwazi. Kulula ukuyiqonda, kodwa isetshenziswa izinkampani eziphezulu emhlabeni ukubhekana nezinkinga ezinzima kakhulu.
Izincomo eziphezulu
- Izikole Ezingcono Zamazinyo Eziyi-15 eFlorida - Izikhundla Eziphezulu Ezikoleni
- Izikole Ezinhle Kakhulu Ezingu-11 ZaseFlorida - Izinga Lesikole SaseFlorida
- Izikole Ezingcono Kakhulu Zokulingisa Amafilimu Ezingu-30 Emhlabeni
- Izikole Ezingcono Kakhulu Zezokwelapha Ezingu-20 ePhilippines - Izinga Lesikole
- Izikole Ezingcono Kakhulu Zezempi Zabafana Ezingu-20 - Izikhundla Zesikole Sase-US.
Isiphetho
Ukuhlaziywa kwedatha kwakuyigebe elikhulu lamakhono eminyakeni emibili edlule, futhi lisaqhubeka nokuba njalo.
Amabhizinisi abelokhu eqoqa idatha amashumi eminyaka, kodwa abaningi abazi ukuthi bangayisebenzisa kanjani leyo datha ukuze benze izinqumo ezingcono zebhizinisi.
Ngenxa yalokho, izinkampani zifuna abantu abangahlaziya futhi bahumushe leyo datha. Amabhizinisi adinga abantu abakwazi ukuqonda idatha futhi bayihumushele kwifomethi eqondakalayo yabaphathi ukuze benze izinqumo ezingcono zebhizinisi. Abantu abanalawa makhono okuhlaziya idatha bangase babizwe ngokuthi abahlaziyi bedatha noma abahlaziyi be-business intelligence (BI).
