Ke ʻimi nei ʻoe i nā papa kamepiula manuahi maikaʻi loa me nā palapala hōʻoia? Inā hana ʻoe, a laila ua hana ʻia kēia ʻatikala ma WSH e kōkua wale iā ʻoe me kēlā.
ʻO ka lawe ʻana i kahi papa kamepiula pūnaewele manuahi hiki ke lilo i huakaʻi maikaʻi loa iā ʻoe me ka nui o nā ʻāpana a me nā pōmaikaʻi. ʻO kēia no ka mea ke holomua nei ka honua i ka ʻāpana IT i kēlā me kēia lā i hala a lawe i kahi papa kamepiula hiki iā ʻoe ke kau i ka wāwae mua. ʻO ia hoʻi he nui nā manawa kūpono ma laila no ʻoe.
ʻAʻole kōkua nā papa kamepiula pūnaewele manuahi me ka palapala hōʻoia iā ʻoe e loaʻa ka ʻike. Hāʻawi pū lākou iā ʻoe i ka hōʻoia (palapala) ua loaʻa iā ʻoe kēlā akamai, a he mea makemake ʻoe e hoʻomaikaʻi a hoʻomaikaʻi iā ʻoe iho.
mau nā palapala hōʻoia pōkole a i ʻole nā palapala hōʻoia lōʻihi hiki ke hoʻohui ʻia i kāu hoʻomau a hiki ke lilo i ʻāpana o kāu mau hoʻokō. ʻO kēlā me kēia kumu āu e makemake ai e lawelawe lākou, ʻoiaʻiʻo ʻoe ke hana nei i kahi hana kūpono loa i ka hoʻokō ʻana i kāu mau pahuhopu.
Ua kākau ʻia kēia ʻatikala no ʻoe e ʻike i nā pane i kāu mau nīnau. ʻO kā mākou hauʻoli i ka World Scholars Hub e kōkua iā ʻoe me kēia papa inoa i koho ʻia ma lalo nei. E nānā kākou iā lākou.
Table of Contents
Ka papa inoa o nā papahana kamepiula pūnaewele manuahi me ka palapala hoʻokō
Aia ma lalo kahi papa inoa o nā papa kamepiula pūnaewele manuahi me ka palapala hoʻokō.
- Hoʻolauna a CS50 i ka ʻEpekema ʻEpekema
- ʻO ka iOS 10 haku polokalamu piha - Hana i nā polokalamu maoli i Swift 3
- ʻO Google IT Automation me ka palapala hōʻoia ʻoihana Python
- IBM Data Science Professional Certificate
- Ka Papa Hana
- Python no kēlā me kēia specialization
- Nā Kuleana C# no ka poʻe hoʻomaka
- Hoʻomohala pūnaewele piha me ka React Specialization
- Introduction to computer science and programming.
Nā Haʻawina Kamepiula Online me ka palapala hōʻoia
Ua ʻike mākou e ʻimi nei ʻoe i kekahi mau papa kamepiula manuahi manuahi me ka palapala hōʻoia, no laila ua manaʻo mākou hiki iā mākou ke kōkua iā ʻoe me kēlā. Eia ka papa inoa o 9 mau papahana pili kamepiula manuahi me nā palapala hōʻoia āu e makemake ai e nānā.
1. Hoʻolauna a CS50 i ka ʻEpekema ʻEpekema
ʻO ka CS50's Introduction to Computer Science ma waena o nā papa kamepiula pūnaewele manuahi me ka palapala i hāʻawi ʻia e ke Kulanui ʻo Harvard.
Hoʻopili ia i ka hoʻolauna ʻana i nā ʻoihana naʻauao o ka ʻepekema kamepiula a me ke ʻano o ka hoʻolālā ʻana no nā mea nui a me nā mea nui ʻole.
ʻO kēia papa pule he 12 he wikiwiki a manuahi ʻole me kahi koho e hoʻonui ai. Loaʻa nā haumāna i loaʻa ka helu ʻoluʻolu ma 9 mau papahana papahana a me kahi papahana hope loa i kahi palapala.
Hiki iā ʻoe ke hana i kēia papa me ka ʻole o ka ʻike hoʻolālā a i ʻole ka ʻike. Hāʻawi kēia papa i nā haumāna me ka ʻike kūpono e noʻonoʻo algorithmically a hoʻoponopono pono i nā pilikia.
He aha kāu e aʻo ai:
- ʻAukake
- Nā Algorithms
- ʻĀina waiwai
- Hoʻopiliʻia
- Hoʻoponopono waiwai
- maluhia
- ʻEnehana kikowaena
- Web ulu
- Nā ʻōlelo papahana e like me: C, Python, SQL, a me JavaScript me CSS a me HTML.
- Nā hoʻonohonoho pilikia i hoʻoulu ʻia e nā kāʻei honua maoli o ka biology, cryptography, kālā
- Forensics, a me ka pāʻani
anuu: edx
2. ʻO ka iOS 10 haku polokalamu piha - Hana i nā polokalamu maoli i Swift 3
ʻO ka Complete iOS 10 Developer course, ʻōlelo ʻia hiki iā ʻoe ke hoʻohuli iā ʻoe i mea hoʻomohala maikaʻi loa, freelancer a me ka ʻoihana e hiki ai iā ʻoe ke lilo.
No kēia papa kamepiula pūnaewele manuahi me ka palapala hōʻoia, pono ʻoe i Mac e holo ana i ka OS X e hana i nā polokalamu iOS. Ma waho aʻe o ka mākaukau hoʻomohala e hoʻohiki kēia papa e aʻo, aia pū kekahi ʻāpana piha i ke ʻano o kāu hana ʻana i kahi hoʻomaka.
He aha kāu e aʻo ai:
- Ke hana nei i nā polokalamu pono
- Ke hana 'ana i nā palapala 'āina GPS
- Ke hana nei i nā polokalamu uaki
- Nā polokalamu unuhi
- Nā polokalamu helu helu
- Nā polokalamu hoʻololi
- Nā polokalamu RESTful a me JSON
- Nā polokalamu Firebase
- Instagram clones
- ʻO nā animation nani i nā mea hoʻohana WOW
- Ke hana nei i nā polokalamu hoʻoikaika
- Pehea e hoʻomaka ai i kāu hoʻomaka ponoʻī mai ka manaʻo i ke kālā a kūʻai aku
- Pehea e hana ai i nā polokalamu iOS ʻoihana
- ʻO kahi mākaukau paʻa i hoʻonohonoho ʻia i ka polokalamu Swift
- He laulā o nā polokalamu i paʻi ʻia ma ka hale kūʻai app
anuu: Udemy
3. ʻO Google IT Automation me ka palapala hōʻoia ʻoihana Python
ʻO kēia papa inoa o nā papa kamepiula pūnaewele manuahi me ka palapala hōʻoia e hōʻike ana i kahi palapala hoʻomaka, ʻeono papa, i hoʻomohala ʻia e Google. Hoʻolālā ʻia kēia papa e hāʻawi i nā loea IT me nā mākau koi e like me: Python, Git, a me IT automation.
Kūkulu ʻia kēia papahana ma kāu mau kumu IT e aʻo iā ʻoe pehea e hoʻolālā me Python a pehea e hoʻohana ai iā Python e hoʻokaʻawale i nā hana hoʻokele ʻōnaehana maʻamau. I loko o ka papa, e aʻo ʻia ʻoe pehea e hoʻohana ai iā Git a me GitHub, hoʻoponopono a hoʻopau i nā pilikia paʻakikī.
I loko o 8 mau mahina o ke aʻo ʻana, e aʻo pū ʻoe pehea e hoʻopili ai i ka automation ma ka pālākiō ma o ka hoʻohana ʻana i ka hoʻokele hoʻonohonoho a me ka Cloud.
He aha kāu e aʻo ai:
- Pehea e hana ai i nā hana ma ke kākau ʻana i nā palapala Python.
- Pehea e hoʻohana ai iā Git a me GitHub no ka mana mana.
- Pehea e hoʻokele ai i nā kumuwaiwai IT ma ka nui, no nā mīkini kino a me nā mīkini virtual i ke ao.
- Pehea e kālailai ai i nā pilikia IT maoli a hoʻokō i nā hoʻolālā kūpono e hoʻoponopono ai i kēlā mau pilikia.
- Google IT Automation me Python Professional Certificate.
- Pehea e hoʻohana ai i ka mana mana
- Hoʻoponopono pilikia & Debugging
- Pehea e hoʻolālā ai me Python
- Hoʻokele ʻokoʻa
- hana nona iho
- Nā Kūlana ʻikepili Python kumu
- Nā Manaʻo Papahana Kumu
- Pūnaehana Python kumu
- Polokalamu Hoʻolaha Kūlana Kūʻai (OOP)
- Pehea e hoʻonohonoho ai i kāu kaiapuni hoʻomohala
- ʻŌlelo maʻamau (REGEX)
- ʻO ka hoʻāʻo ʻana ma Python
Anuu: Coursera
4. IBM Data Science Professional Certificate
Kuhi ʻia kēia Palapala Hoʻonaʻauao mai IBM e kōkua i ka poʻe makemake i kahi ʻoihana i ka ʻepekema data a i ʻole ke aʻo mīkini e hoʻomohala i nā mākau pili i ka ʻoihana a me ka ʻike.
ʻAʻole koi kēia papa i ka ʻike mua o ka ʻepekema kamepiula a i ʻole nā ʻōlelo papahana. Mai kēia papa, e hoʻomohala ʻoe i nā mākau, nā mea hana, a me nā kōpili āu e pono ai ma ke ʻano he ʻepekema data komo.
Aia kēia papahana palapala hōʻoia he 9 mau papa pūnaewele e uhi ana i nā mea hana a me nā mākau, e pili ana i nā hāmeʻa open source a me nā hale waihona puke, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modelling, and machine learning algorithms.
E aʻo pū ʻoe i ka ʻepekema data ma o ka hoʻomaʻamaʻa ʻana i ka IBM Cloud me ka hoʻohana ʻana i nā mea hana ʻepekema ʻikepili maoli a me nā pūʻulu ʻikepili honua maoli.
He aha kāu e aʻo ai:
- He aha ka ʻepekema data.
- Nā hana like ʻole o ka hana a ka ʻepekema data
- Hana ʻo Methodology ma ke ʻano he ʻepekema data
- Pehea e hoʻohana ai i nā mea hana ʻepekema ʻikepili ʻoihana, nā ʻōlelo, a me nā hale waihona puke.
- Pehea e lawe mai ai a hoʻomaʻemaʻe i nā pūʻulu ʻikepili.
- Pehea e kālailai a nānā i ka ʻikepili.
- Pehea e kūkulu ai a loiloi i nā hiʻohiʻona aʻo mīkini a me nā pipeline me ka hoʻohana ʻana iā Python.
- Pehea e hoʻohana ai i nā mākau ʻepekema ʻikepili like ʻole, nā ʻenehana, a me nā mea hana e hoʻopau ai i kahi papahana a hoʻopuka i kahi hōʻike.
anuu: Coursera
5. Ka Papa Hana
Hāʻawi kēia papa aʻo mīkini e Stanford i kahi hoʻolauna ākea i ke aʻo ʻana i ka mīkini. Aʻo ia i ka ʻimi ʻikepili, ka ʻike ʻana i ke ʻano helu helu, a me ka papa inoa o nā kumuhana pili ʻē aʻe.
Hoʻokomo pū ka papa i nā noiʻi hihia he nui a me nā noi. E ʻae kēia iā ʻoe e aʻo pehea e hoʻopili ai i nā algorithm aʻo e kūkulu i nā robots akamai, ʻike kikokikona, ʻike kamepiula, ʻike ʻike olakino, leo leo, ka mining database, a me nā wahi ʻē aʻe.
He aha kāu e aʻo ai:
- Ke aʻo loea ʻana
- Aʻo aʻo ʻole kākoʻo
- ʻO nā hana maikaʻi loa i ke aʻo ʻana i ka mīkini.
- Hoʻomaka i ke aʻo ʻana i ka mīkini
- Linear Regression me hoʻokahi mea hoʻololi
- Hoʻihoʻi Linear me nā ʻano like ʻole
- Nānā Algebra
- Octave/Matlab
- ʻO ke kaumaha huhū
- Hoʻohui ʻāina
- ʻOihana pūnaewele
Anuu: Coursera
6. Python no kēlā me kēia specialization
ʻO Python no kēlā me kēia kanaka kahi papa hana kūikawā e hoʻolauna iā ʻoe i nā manaʻo papahana kumu. E aʻo ʻoe e pili ana i nā hoʻolālā ʻikepili, nā pilina polokalamu noi pūnaewele, a me nā ʻikepili, me ka hoʻohana ʻana i ka ʻōlelo hoʻolālā Python.
Aia pū kekahi me nā Capstone Projects, kahi e hoʻohana ai ʻoe i nā ʻenehana i aʻo ʻia i loko o ka Specialization e hoʻolālā a hana i kāu mau noi ponoʻī no ka kiʻi ʻana i ka ʻikepili, ka hana ʻana, a me ka ʻike. Hāʻawi ʻia ka papa e ke Kulanui o Michigan.
He aha kāu e aʻo ai:
- E hoʻouka iā Python a kākau i kāu papahana mua.
- E wehewehe i ke kumu o ka ʻōlelo papahana Python.
- E hoʻohana i nā mea hoʻololi no ka mālama ʻana, kiʻi a helu i ka ʻike.
- E hoʻohana i nā mea hoʻolālā koʻikoʻi e like me nā hana a me nā puka lou.
anuu: Coursera
7. Nā Kuleana C# no ka poʻe hoʻomaka
Hāʻawi kēia haʻawina iā ʻoe e kiʻi i nā mea hana āu e pono ai e kākau i nā code, nā hiʻohiʻona debug, e ʻimi i nā hana pilikino, a me nā mea hou aku. Hāʻawi ʻia ia e Microsoft.
He aha kāu e aʻo ai:
- Ke hoʻokomo nei i Visual Studio
- Hoʻomaopopo i ka papahana C#
- Hoʻomaopopo i nā ʻano ʻikepili
A nui hou aku.
anuu : Microsoft.
8. Hoʻomohala pūnaewele piha me ka React Specialization
Hoʻopili ka papa i nā papa hana mua e like me Bootstrap 4 a me React. He luʻu nō hoʻi ma ka ʻaoʻao kikowaena, kahi āu e aʻo ai pehea e hoʻokō ai i nā ʻikepili NoSQL me ka hoʻohana ʻana iā MongoDB. E hana pū ʻoe i loko o kahi kaiapuni Node.js a me Express framework.
E kamaʻilio ʻoe i ka ʻaoʻao o ka mea kūʻai aku ma o kahi RESTful API. Eia nō naʻe, pono e loaʻa i nā haumāna ka ʻike hana mua o HTML, CSS a me JavaScript. Hāʻawi ʻia kēia papa e ka Hong Kong University of Science and Technology.
Anuu: Coursera
9. Introduction to computer science and programming.
ʻO ka hoʻomaka ʻana i ka ʻepekema kamepiula a me ka papahana ma Python i manaʻo ʻia no nā haumāna me ka liʻiliʻi a i ʻole ka ʻike papahana. Kōkua ia i nā haumāna e hoʻomaopopo i ke kuleana o ka helu ʻana i ka hoʻoponopono ʻana i nā pilikia.
Manaʻo ia e kōkua i nā haumāna e hōʻoia i ko lākou hiki ke kākau i nā papahana liʻiliʻi e hiki ai iā lākou ke hoʻokō i nā pahuhopu pono. Hoʻohana ka papa i ka ʻōlelo papahana Python 3.5.
He aha kāu e aʻo ai:
- He aha ka helu
- ʻO nā lālā a me nā hoʻololi
- Hoʻoponopono i ke kaula, Huna a nānā, Hoʻohālikelike, Māhele
- Decomposition, Abstractions, Hana
- Tuples, Lists, Aliasing, Mutability, Cloning.
- Recursion, puke wehewehe'ōlelo
- Hoʻāʻo, Debugging, ʻokoʻa, Assertions
- Papahana Hoʻopono Mea
- Nā Papa Python a me ka Hoʻoilina
- Hoʻomaopopo i ka Pono Polokalamu
- Hoʻomaopopo i ka Pono Polokalamu
- Ke huli a me ka hoʻoihoʻana
anuu : MIT Open course ware
Ma hea e loaʻa ai nā papa kamepiula manuahi me ka palapala hōʻoia
Ma lalo iho nei mākou i papa inoa i kekahi mau paepae e hiki ai iā ʻoe ke loaʻa kēia kamepiula pūnaewele manuahi nā papa me ka palapala hōʻoia. E ʻoluʻolu e nānā iā lākou.
1) Coursera
ʻO Coursera Inc. kahi mea hāʻawi papa papa punaewele ʻAmelika me nā papa wikiō i hoʻopaʻa mua ʻia. Hana pū ʻo Coursera me nā kulanui a me nā hui ʻē aʻe e hāʻawi i nā papa pūnaewele, nā palapala hōʻoia, a me nā kekelē ma nā kumuhana like ʻole.
2) Udemy
ʻO Udemy kahi kahua pūnaewele/makeke no ke aʻo ʻana a me ke aʻo ʻana me ka nui o nā papa a me nā haumāna. Me Udemy, hiki iā ʻoe ke hoʻomohala i nā mākau hou ma ke aʻo ʻana mai kāna waihona puke nui o nā papa.
3) Hoʻoponopono
ʻO EdX kahi mea hāʻawi aʻoaʻo punaewele ʻAmelika i hana ʻia e Harvard a me MIT. Hoʻokipa ʻo ia i nā ʻano papa pūnaewele ma kahi ākea o nā hoʻopaʻi i nā poʻe a puni ka honua. ʻO kekahi o kāna mau papa e like me ka mea a mākou i helu ai ma luna nei me ka uku ʻole. Hana pū ia i ka noiʻi ʻana i ke aʻo ʻana e pili ana i ka hoʻohana ʻana o ka poʻe i kāna paepae.
4) LinkedIn Ke aʻo
ʻO ke aʻo ʻana ʻo LinkedIn he mea hāʻawi haʻahaʻa haʻahaʻa pūnaewele. Hāʻawi ia i kahi papa inoa lōʻihi o nā papa wikiō i aʻo ʻia e ka poʻe loea ʻoihana i nā lako polokalamu, nā mea hana, a me nā mākau ʻoihana. Hāʻawi nā papa hōʻoia manuahi ʻo LinkedIn iā ʻoe i kahi manawa e aʻo ai mai nā loea ʻoihana me ka ʻole o ka hoʻolilo ʻana i kahi dime.
5) Udacity
ʻO Udacity, kahi hui hoʻonaʻauao e hāʻawi ana i nā papa papa pūnaewele ākea ākea. Ua aʻo ʻia nā papa palapala hōʻoia pūnaewele manuahi i loaʻa ma Udacity e nā kumu aʻo loea. Ke hoʻohana nei iā Udacity, hiki i nā haumāna ke loaʻa nā mākau hou ma o ka waihona nui o nā papa maikaʻi a lākou e hāʻawi ai.
6) Home a aʻo
Hāʻawi ʻo Home and Learn i nā papa aʻoaʻo kamepiula manuahi. Hoʻolālā ʻia nā papa āpau e kūpono i nā pono o nā poʻe hoʻomaka piha, no laila ʻaʻole pono ʻoe i ka ʻike e hoʻomaka ai.
ʻO nā papahana ʻē aʻe he:
i. E aʻo i ka wā e hiki mai ana
ii. Alison.
Nā nīnau i nīnau pinepine ʻia e pili ana i nā papa kamepiula pūnaewele manuahi me ka palapala hōʻoia
Loaʻa iaʻu kahi palapala paʻi?
ʻAe, e hāʻawi ʻia iā ʻoe kahi palapala paʻi ke hoʻopau pono ʻoe i ka papa a hoʻokō i nā koi āpau. Hiki ke hoʻokaʻawale ʻia kēia mau palapala hōʻoia a hiki ke hoʻohana ʻia i mea hōʻoia o kāu ʻike ma kahi kahua pili kamepiula. I kekahi mau hihia, e hoʻouna kāu ʻoihana iā ʻoe i kope paʻa o ka palapala hoʻokō.
ʻO wai nā haʻawina kamepiula pūnaewele manuahi e pono iaʻu e lawe?
Hiki iā ʻoe ke koho i nā papa kamepiula pūnaewele manuahi me ka palapala hōʻoia āu i manaʻo ai he kūpono. I ka lōʻihi o ko lākou ʻoluʻolu ʻana me ʻoe, a hoʻokō i kāu mau pono a me kou makemake, e hāʻawi i kahi pana. Akā, e hana maikaʻi e hōʻoia i ka legit.
Pehea e loaʻa ai iaʻu nā papahana Online FREE me kahi palapala?
E hahai i nā paepae ma lalo nei:
- E kipa i nā kahua e-aʻo pūnaewele e like me coursera, edX, khan ma o kāu polokalamu kele pūnaewele.
- Kākau i kāu mau papa hoihoi (ʻepekema ʻikepili, hoʻolālā a me nā mea ʻē aʻe) ma ka ʻimi a i ʻole ka pahu kānana ma ka paepae. Hiki iā ʻoe ke ʻimi ma kekahi kumuhana āu e makemake ai e aʻo.
- Mai nā hopena āu e loaʻa ai, koho i nā papa manuahi me ka palapala hōʻoia makemake ʻoe a wehe i ka ʻaoʻao papa.
- E hele ma ka papa a nānā e pili ana i ka papa. E nānā pū i nā hiʻohiʻona o ka papa a me nā kumuhana. E hōʻoia inā ʻo ka papa ka mea āu e makemake ai, a inā hāʻawi lākou i kahi palapala manuahi no ka papa āu e makemake ai.
- Ke hōʻoia ʻoe i kēlā, e hoʻopaʻa inoa a hoʻopaʻa inoa no ka papa pūnaewele manuahi au i koho ai. I kekahi manawa, e noi ʻia ʻoe e kākau inoa. E hana pēlā a hoʻopau i ke kaʻina hana hoʻopaʻa inoa.
- Ma hope o kāu hana ʻana i kēlā, e hoʻomaka i kāu papa, e hoʻopau i nā koi a me nā haʻawina. I ka pau ʻana, manaʻo ʻia ʻoe e lawe i kahi hoʻokolohua a i ʻole hōʻike e hiki ai iā ʻoe ke loaʻa ka palapala hōʻoia. Ace iā lākou, a mahalo iā mākou ma hope;).
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