Learning Data Science - Pro

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Mayelana nalolu hlelo lokusebenza

Kubo bonke abahleli bezinga le-novice kanye nochwepheshe abafuna ukufunda ulimi lohlelo lwe-python futhi abafuna ukusungula izisekelo eziqinile zokuphumelela noma iyiphi inhlolokhono yomsebenzi ngalolu limi, uhlelo lwethu lokusebenza lokufunda i-python lunikeza izinto zokufunda ezihamba phambili.

Kubo bonke abafundi besayensi yekhompiyutha noma abafundi ababhala amakhodi abafuna ukufunda iPython noma nini nanoma kuphi lapho befuna, i-Learn Python iwuhlelo lokusebenza okufanele ube nalo. Lolu hlelo lokusebenza lokufunda uhlelo lunokuqukethwe okuhle kakhulu okungakusiza ukuthi utadishele inhlolokhono ye-python noma noma yikuphi ukuhlolwa okubiza ulwazi ngolimi.

Uhlelo lokusebenza olufundisa iPython: Data Science inendawo yokufunda ethuthuke kakhulu enezifundo eziningi namathuba okusebenza okungokoqobo. Ukufunda komshini okudume kakhulu, ukufunda okujulile, nolimi lokuhlela lwesayensi yedatha emhlabeni yiPython. Funda ukuqeqeshwa kokuthuthukiswa kwePython MAHHALA.

Uma ufuna uhlelo lokukusiza ufunde ulimi lokuhlela lwePython ngaphandle kokuhlangenwe nakho kwangaphambilini, zama i-Core Python. Usendaweni efanele. Lolu hlelo lokusebenza olwanoma ubani ofuna ukufunda uhlelo lwePython, kungakhathaliseki ukuthi bangabahleli bohlelo abanolwazi noma cha.

funda inhlwathi / inhlwathi yokufundisa
I-Python iwulimi lwezinhlelo olusezingeni eliphezulu, olugxile ezintweni, inhloso ejwayelekile, olusebenzisanayo, nolutolikwa. Phakathi kuka-1985 no-1990, uGuido van Rossum wayidala. Ikhodi yomthombo ye-Python nayo iyatholakala ngaphansi kwe-GNU General Public License (GPL), njenge-Perl. Inhlwathi ayiyona inyoka; iqanjwe ngohlelo lwe-TV lwe-Monty Python's Flying Circus.

Ingabe ulungiselela inhlolokhono yePython noma ufuna ukufunda iPython? Lungiselela ukusebenzisa uhlelo lokufunda lwePython oluphelele nolwehlukile kakhulu.

Ungafunda iPython uwedwa noma uthuthukise ulwazi lwakho usebenzisa uhlelo lokusebenza lwePythonX. Kanye nezifundo ezijulile zabo bobabili abaqalayo nochwepheshe, lolu hlelo lokusebenza luphinde lube namakhulu amasampula ekhodi, i-compiler, namathuluzi okusebenzisa imibhalo ye-Python nokubuka imiphumela yekhodi yakho.

Isayensi Yedatha
Umkhakha wocwaningo owaziwa ngokuthi isayensi yedatha ugxile ekukhishweni kolwazi enanini elikhulu ledatha kusetshenziswa amasu esayensi ahlukahlukene, ama-algorithms, nezinqubo. Ikusiza ekuboneni amaphethini afihliwe kudatha eluhlaza. Ukuthuthukiswa kwedatha enkulu, ukuhlaziya idatha, nezibalo zezibalo kudale igama elithi "isayensi yedatha."

Uhlelo lokusebenza oluchwepheshile olubizwa nge-Learn Data Science lwadalelwa ukusiza ekuqondeni isayensi yedatha. Sebenzisa lolu hlelo lokusebenza lokufunda ukuze ube yingcweti yesayensi yedatha. Ngosizo lwalolu hlelo lokusebenza, ungakwazi ukufunda isayensi yedatha noma ufunde okuyisisekelo. Ngosizo lohlelo lokusebenza "Learn Data Science, Big Data, and Data Analytics", ungafunda ukwenza ikhodi futhi ubone ngeso lengqondo idatha mahhala.

Ungathola Okokufundisa Kwesayensi Yedatha, Izifundo Zokuhlela, Izinhlelo, Imibuzo Nezimpendulo, nakho konke okunye okudingayo ukuze ufunde okuyisisekelo kweSayensi Yedatha noma ube umpetha wohlelo lwe-Learn Data Science nge-Learn Data Science, Idatha Enkulu, kanye ne-Data Analytics. uhlelo lokusebenza.

Thuthukisa amakhono akho okucubungula idatha nezibalo endaweni yesayensi yedatha. Sebenzisa lolu hlelo lokusebenza lokufunda ukuze ube yingcweti yesayensi yedatha. Ngosizo lohlelo lokusebenza lokufunda isayensi yedatha olungcono kakhulu, ungafunda izisekelo zesayensi yedatha noma uthuthuke ube uchwepheshe. Ngohlelo lokufunda "Funda Isayensi Yedatha, Idatha Enkulu, kanye Nezibalo Zedatha", ungafunda ukwenza ikhodi futhi ubone idatha ngeso lengqondo mahhala. Lolu wuhlelo lokusebenza okufanele ube nalo uma ulungiselela inhlolokhono ye-Data Science noma uvivinyo lwakho oluzayo.