Learn Data Science
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Mayelana nalolu hlelo lokusebenza
Siyakwamukela kuhlelo lokusebenza lwe-Learn Data Science, lapho ungafunda khona isayensi yedatha ngohlelo lokusebenza. Yilande manje ukuze ufunde mayelana nesayensi yedatha
Njengoba kunemakethe yemisebenzi eshisayo, amaholo anenzuzo enkulu, namathuba emisebenzi athembisayo, yisikhathi esihle sokuba usosayensi wedatha. Kodwa kuthiwani uma uqala kusukela ekuqaleni? Ngenhlanhla, kunezindlela eziningi ezahlukene zokufunda. Ungafunda amakhono kulo mkhakha ngezindlela eziningi ezahlukene—kusuka ekutholeni iziqu zasekolishi ukuya kuma-bootcamp kuya ekuzifundiseni wena. Awuqinisekile ukuthi ungaqala kuphi? Kulesi sihloko, sizokukhombisa ukuthi usuka kanjani ekubeni yimfundamakhwela uye ekubeni ulungele umsebenzi emkhakheni wesayensi yedatha.
Ngohlelo lokusebenza lwe-Learn Data Science, ungathola okokufundisa kwesayensi yedatha, izifundo zokuhlela, isofthiwe, imibuzo nezimpendulo, nakho konke okudingayo ukuze ufunde izisekelo zesayensi yedatha noma ube umpetha wokufunda isayensi yedatha.
Ngohlu olubanzi lwamakhulu ezinhlelo (izibonelo zekhodi) ezinamazwana,
Imibuzo eminingi nezimpendulo, zonke izidingo zakho zokufunda izinhlelo zinqwabelana zibe uhlelo lokusebenza lokufunda lwesayensi yedatha eyodwa.
Izici:
- Iqoqo elihle kakhulu lezifundo zePython
- Funda iPython kanye nesayensi yedatha eyisisekelo ukuze uqhubekele phambili.
- Hlukanisa izihloko ngendlela efanele.
- Imodi emnyama yokufunda okuhle kakhulu.
- Inkulumo yevidiyo yamahhala yePython neSayensi Yedatha.
- Izinhlelo eziningi zokuzijwayeza.
- Uma uthanda noma yiziphi izihloko wabelane ngayo nabangani.
- Isayensi yedatha yesikhathi sangempela yamahhala kanye nephrojekthi ye-python
- Python interview umbuzo kanye nempendulo.
- Python kanye nedatha yesayensi izinto zokufunda
Lolu hlelo lokusebenza luyisinqumo esihle kakhulu sabaqalayo ukufunda isayensi yedatha ngezifundo zevidiyo ezisebenzisanayo nezifundiswa mahhala. Futhi, lolu hlelo lokusebenza aludingi noma iyiphi inqubo yokubhalisa okwenza kube lula ukuyisebenzisa futhi kulula ukuyisebenzisa.
Njengoba kunemakethe yemisebenzi eshisayo, amaholo anenzuzo enkulu, namathuba emisebenzi athembisayo, yisikhathi esihle sokuba usosayensi wedatha. Kodwa kuthiwani uma uqala kusukela ekuqaleni? Ngenhlanhla, kunezindlela eziningi ezahlukene zokufunda. Ungafunda amakhono kulo mkhakha ngezindlela eziningi ezahlukene—kusuka ekutholeni iziqu zasekolishi ukuya kuma-bootcamp kuya ekuzifundiseni wena. Awuqinisekile ukuthi ungaqala kuphi? Kulesi sihloko, sizokukhombisa ukuthi usuka kanjani ekubeni yimfundamakhwela uye ekubeni ulungele umsebenzi emkhakheni wesayensi yedatha.
Ngohlelo lokusebenza lwe-Learn Data Science, ungathola okokufundisa kwesayensi yedatha, izifundo zokuhlela, isofthiwe, imibuzo nezimpendulo, nakho konke okudingayo ukuze ufunde izisekelo zesayensi yedatha noma ube umpetha wokufunda isayensi yedatha.
Ngohlu olubanzi lwamakhulu ezinhlelo (izibonelo zekhodi) ezinamazwana,
Imibuzo eminingi nezimpendulo, zonke izidingo zakho zokufunda izinhlelo zinqwabelana zibe uhlelo lokusebenza lokufunda lwesayensi yedatha eyodwa.
Izici:
- Iqoqo elihle kakhulu lezifundo zePython
- Funda iPython kanye nesayensi yedatha eyisisekelo ukuze uqhubekele phambili.
- Hlukanisa izihloko ngendlela efanele.
- Imodi emnyama yokufunda okuhle kakhulu.
- Inkulumo yevidiyo yamahhala yePython neSayensi Yedatha.
- Izinhlelo eziningi zokuzijwayeza.
- Uma uthanda noma yiziphi izihloko wabelane ngayo nabangani.
- Isayensi yedatha yesikhathi sangempela yamahhala kanye nephrojekthi ye-python
- Python interview umbuzo kanye nempendulo.
- Python kanye nedatha yesayensi izinto zokufunda
Lolu hlelo lokusebenza luyisinqumo esihle kakhulu sabaqalayo ukufunda isayensi yedatha ngezifundo zevidiyo ezisebenzisanayo nezifundiswa mahhala. Futhi, lolu hlelo lokusebenza aludingi noma iyiphi inqubo yokubhalisa okwenza kube lula ukuyisebenzisa futhi kulula ukuyisebenzisa.
Kubuyekezwe ngo-
Ukuphepha kuqala ngokuqonda ukuthi onjiniyela baqoqa futhi babelane kanjani ngedatha yakho. Ubumfihlo bedatha nezinqubo zokuphepha zingahluka kuye ngokusebenzisa kwakho, isifunda, nobudala. Unjiniyela unikeze lolu lwazi futhi angalubuyekeza ngokuhamba kwesikhathi.
