25 Nā Haʻawina Pōkole Online me nā palapala hōʻoia

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25 mau haʻawina pōkole pōkole ma ka pūnaewele
25 mau haʻawina pōkole pōkole ma ka pūnaewele

Ua hele mai ka wā post-COVID me ka nui o nā loiloi maoli. ʻO kekahi o lākou ke ala wikiwiki e neʻe nei ka honua me ka nui o nā poʻe e loaʻa ana nā mākau hoʻololi ola hou mai ka hōʻoluʻolu o ko lākou mau home. Hiki iā ʻoe ke lawe i nā papa haʻawina pōkole manuahi me nā palapala hōʻoia e pono ai ʻoe.

Eia naʻe, oʻO kahi hiʻohiʻona hoihoi o nā papa pūnaewele manuahi ʻo ka hiki ke aʻo mai ke kumu aʻo maikaʻi loa i kēlā papa me ka ʻole o ka hoʻolilo ʻana i kahi dime.

Eia kekahi, ʻaʻole ʻoe e loaʻa wale i ka ʻike a me nā mākau e hele mai me nā papa akā loaʻa iā ʻoe nā palapala hōʻoia hiki ke hoʻonui ʻia i kāu CV a i ʻole resumé.

Eia kekahi, nā mea a pau Pono ʻoe e ʻai i nā haʻawina manuahi manuahi he lawelawe pūnaewele paʻa, ke ola pākaukau nui no kāu mau hāmeʻa, a ʻo ka mea nui loa i kou manawa, hoʻomanawanui, a me ka hoʻolaʻa. Me kēia mau mea a pau, hiki iā ʻoe ke loaʻa i nā papa koʻikoʻi he nui, hōʻoia ʻia, a hoʻonui i ka honua kikohoʻe.

Nā mea e pono ai ʻoe e ʻike e pili ana i nā haʻawina manuahi ma ka pūnaewele

Ma lalo iho nei nā mea e pono ai ʻoe e ʻike e pili ana i nā papa pūnaewele pōkole:

  • ʻAʻole lākou i helu ʻia ma kekahi ʻano akā ua helu ʻia no ke komo maʻalahi.
  • Ma ke ʻano he haumāna a i ʻole kamaʻāina papa hana, hiki iā ʻoe ke aʻo a hana ma kāu wikiwiki me ka hoʻohana ʻana i kēia mau papa pūnaewele. Ua hoʻolālā ʻia nā papa ma kahi ʻano maʻalahi no kēlā me kēia kanaka.
  • He pōkole lākou a pololei i ke kiko, no laila ʻaʻole pono ʻoe e hopohopo e pili ana i ka hoʻolilo ʻana i ka manawa nui i ke aʻo ʻana i kahi papa.
  • ʻO kekahi o nā papa manuahi manuahi he mau papa ʻoihana a ʻo kekahi no nā mea hoʻomaka e ʻimi ana i ka ʻike kumu. Eia nō naʻe, hele mai kēlā me kēia papa me nā palapala like ʻole.

Ka papa inoa o nā papa haʻawina manuahi me nā palapala hōʻoia

Aia ma lalo iho kahi papa inoa o nā haʻawina pūnaewele pōkole manuahi me nā palapala hōʻoia:

 25 Nā Hana Hana Kūʻai Nui me nā hōʻoia

1) Pono e-kālepa

  • anuu: ʻO Skillshare     

Ma ke kahua ʻo Skillshare, nui nā papa haʻawina pōkole manuahi e hiki ai iā ʻoe ke lawe. ʻO kekahi o lākou ka pono E-commerce e pili ana i ka hoʻomaka ʻana i kahi ʻoihana pūnaewele kūleʻa. ʻO ka papa nui e pili ana i ka hoʻomaka ʻana a me ka holo pono ʻana i kahi ʻoihana kikohoʻe.

Ii kēia papa, hiki i nā haumāna ke aʻo i ka palapala ʻana i kahi hoʻolālā kūʻai maikaʻi, ʻike i nā huahana hiki ke kūʻai aku ma ka pūnaewele, hoʻomaka i kahi ʻoihana pūnaewele, a ʻo ka mea nui e kūkulu i kahi ʻoihana lōʻihi a kūleʻa.

E Kaomi Maʻaneʻi

2) Hookele Hotel 

  • anuu: ʻO Oxford Homestudy

ʻO Oxford University kekahi o nā kula kaulana a maikaʻi loa ma ka honua. Hāʻawi ke Kulanui i kahi papa pūnaewele pōkole manuahi ma kāna kahua Homestudy. ʻO kekahi o nā papa i ʻimi nui ʻia ʻo ia ka papa Hoʻokele Hotel.

Loaʻa kēia papa no ka poʻe hoihoi i ka ʻoihana Hoʻokipa. ʻO ka papa Hoʻokele Hotel ke aʻo ʻana i nā ʻenehana hoʻokele hōkele, hoʻokele, kūʻai aku, mālama hale, a pēlā aku. 

E Kaomi Maʻaneʻi

3) Ke kūʻai aku uila

  • anuu: Google

Nui ka poʻe e hoʻohana i ka paepae Google e hana i ka noiʻi ʻana i nā kumuhana like ʻole a me nā kānaka, akā ʻaʻole nui ka poʻe i ʻike e hāʻawi ana ʻo Google i nā papa aʻoaʻo manuahi manuahi ma kāna puka a i ʻole ma Coursera.

ʻO kekahi o kēia mau papa pōkole manuahi ma google ka Fundamentals of Digital marketing. Ua ʻae piha ʻia ka papa e nā kino ʻelua: The Open University and The Interactive Advertising Bureau Europe.

Hele mai ka papa me 26 mau modules i hoʻopaʻa piha ʻia me nā hiʻohiʻona maoli, nā kumu hoʻohālike paʻa, a me nā hana hoʻomaʻamaʻa e kōkua i nā haumāna e wehe a paʻa i nā kumu kumu o ke kālepa kikohoʻe a me kona pono i kā lākou ʻoihana a ʻoihana paha.

E Kaomi Maʻaneʻi

4) Nā mākau alakaʻi a me ka hoʻokele no ka ʻoihana

  • anuu: Alison

Ma Alison, hāʻawi ʻia ʻoe i kahi ākea o nā papa pūnaewele manuahi e like me nā mākau Management no ka papa ʻoihana.

Ke hele nei nā haumāna i kēia papa pūnaewele manuahi ma hooponopono no ka oihana ua aʻo pono ʻia i ka hoʻokele ʻana i nā pilikia i ka ʻoihana, ka hoʻomohala ʻana i ke ʻano, ka hoʻokele papahana, a me ka hoʻokele hālāwai. Ma ke ʻano he ʻoihana ʻoihana a hoʻomaka paha, pono ʻoe i kēia mau mākau no kāu ulu holomua a me ka hoʻomohala ʻoihana.

E Kaomi Maʻaneʻi

 5) ʻEnekinia Waiwai a me ka Hoʻoponopono Hoʻopilikia

  • anuu: Ke Kulanui ʻo Columbia (Coursera)

Loaʻa ka ʻenehana kālā a me ka hoʻokele waiwai ʻana ma ka pūnaewele mai ke Kulanui ʻo Columbia ma Coursera. ʻOkoʻa ka papa i nā hiʻohiʻona maʻalahi, ka hoʻokaʻawale ʻana i ka waiwai, a me ka loiloi portfolio e loiloi i ka hopena o ka waiwai i ka hoʻokele waiwai a me ka pilikia kālā.

Eia nō naʻe, ʻo ka Financial Engineering kahi hoʻomohala theoretical i ke kālā, ʻoiai ʻo Risk management ke kaʻina o ka ʻike a me ka kāohi ʻana i nā hoʻoweliweli i loko o kahi hui.

E Kaomi Maʻaneʻi

6) SEO: Hua'ōlelo Hua'ōlelo

  • anuu:  LinkedIn

ʻO ka Search Engine Optimization (SEO) kahi papa hoʻolālā huaʻōlelo ma ka pūnaewele. Loaʻa ia ma ka LinkedIn aʻo platform. He papa ia e aʻo ai pehea e hoʻohana ai i nā huaʻōlelo e kūʻai aku i nā huahana a i ʻole nā ​​​​lawelawe.

Kōkua kēia papa iā ʻoe e hoʻomaikaʻi i kāu pūnaewele ma o ka hoʻohana ʻana i ka hoʻolālā huaʻōlelo. Loaʻa iā ia ka hopena o ka hoʻonui ʻana i kāu huahana a lawelawe paha ma nā ʻenekini huli.

E Kaomi Maʻaneʻi

 7) ʻOihana liʻiliʻi Mhale kūʻai

  • anuu: LinkedIn

Me ke kōkua o ke kūʻai aku ʻana o LinkedIn no ka papa ʻoihana liʻiliʻi, e aʻo ʻoe pehea e ulu kūleʻa a mālama i kāu ʻoihana liʻiliʻi ma o nā hoʻolālā kūʻai paʻa.

E aʻo nā haumāna e hoʻohana nei i kēia papa pūnaewele manuahi i nā ʻōlelo aʻoaʻo a me nā hoʻopunipuni e pili ana i ka hoʻohana piha ʻana i nā kumuwaiwai e kūʻai aku ai i kahi huahana a lawelawe paha.

Eia kekahi, kōkua ia i nā ʻoihana liʻiliʻi i ka ʻike pehea e hoʻokele a hoʻonui i kā lākou ʻoihana.

E Kaomi Maʻaneʻi

 8) ʻŌlelo Pelekania no ka Hoʻomohala Hana

  • anuu: Ke Kulanui o Pennsylvania

Ma ke ʻano he ʻōlelo Pelekania ʻole e ʻimi nei i nā kuleana a i ʻole nā ​​​​papahana kekelē ma nā ʻāina kahi o ka lingua franca ka ʻōlelo Pelekane. Pono ʻoe e aʻo i ka ʻōlelo Pelekania a hoʻokahi ala āu e hana ai ma o kēia papa manuahi i loaʻa ma ka pūnaewele ma ke kahua o ke Kulanui o Pennsylvania.

ʻO ka mea pōmaikaʻi, he papa pūnaewele manuahi kēia e kōkua i ka hoʻonui ʻana i ka ʻike o ka ʻōlelo Pelekane. 

E Kaomi Maʻaneʻi

 9) Introduction to Psychology

  • anuu: Ke Kulanui ʻo Yale (Coursera)

ʻO ka Introduction to Psychology kahi papa pūnaewele manuahi i loaʻa ma Coursera e Yale University.

Ke manaʻo nei kēia papa i ka hāʻawi ʻana i kahi ʻike piha o ka noiʻi ʻepekema o ka noʻonoʻo a me ka ʻano. E ʻimi pū ana kēia papa i nā kumuhana e like me ka ʻike, kamaʻilio, ke aʻo ʻana, ka hoʻomanaʻo, ka hoʻoholo ʻana, ka hoʻohuli ʻana, nā manaʻo, a me nā ʻano pilikanaka.

E Kaomi Maʻaneʻi

 10) Nā Kuleana Android: Mea hoʻohana Interface

  • anuu: Udacity

ʻO ka Android Basic User Interface he papa pūnaewele manuahi no nā mea hoʻomohala paʻa mua i makemake i ka android.

Loaʻa ka papa ma Udacity a ua aʻo ʻia e nā loea. Eia kekahi, he papa ia e pono ai ka ʻike ʻole i ke kākau ʻana i nā papahana a i ʻole coding.

E Kaomi Maʻaneʻi

 11) Neuroanatomy kanaka

  • anuu: Kulanui o Michigan

No nā haumāna physiology makemake e hoʻomaopopo a loaʻa i ka ʻike hohonu o Human Anatomy, ua loaʻa kēia papa manuahi manuahi ma ka pūnaewele papa ʻo Michigan.

Hoʻokumu ʻia ka papa ma luna o Human Neuroanatomy. E aʻo e pili ana i ka lolo a me ka ʻōnaehana nūnū waena: pehea e hana ai, pehea e loaʻa ai ka ʻike naʻau i ka lolo, a pehea ka lolo e haʻi aku ai i ka ʻōlelo i ka ʻāpana o ke kino.

E Kaomi Maʻaneʻi

 12) Ke alakaʻi a me ka hoʻokele

  • anuu: ʻO Oxford Home haʻawina

Ua hoʻokumu ʻia ka papa alakaʻi a me ka Management free online mai Oxford e nā mea hoʻonaʻauao aʻoaʻo a me nā loea loea. Eia kekahi, loaʻa ka papa ma ka Oxford Home Study Platform.

Hiki iā ʻoe ke aʻo e pili ana i ke alakaʻi ʻana mai nā hiʻohiʻona like ʻole, aʻo i nā mākau hou e pili ana i nā mākau paʻakikī a palupalu, a hoʻomaikaʻi ma ke ʻano he kanaka e ʻimi nei e lilo i alakaʻi maikaʻi.

E Kaomi Maʻaneʻi

13) ʻO ka mea akamai

  • anuu: Uena Canvas

Kōkua kēia papa i ka hoʻomaopopo ʻana i ka waiwai kūʻokoʻa i hōʻoia ʻia i kāu kula a ma ka honua holoʻokoʻa. Hāʻawi kēia iā ʻoe i ka ʻike e hoʻokumu a hoʻokele i kahi hui huahua a me ke kōkua ʻana i nā poʻe a puni ʻoe e ʻike i ko lākou leo ​​ʻoiaʻiʻo, ko lākou hoʻoikaika ʻana, ka hoʻonui ʻana i ko lākou ʻano, a me ko lākou akamai.

ʻO ka papahana pūnaewele manuahi ʻo Canvas ma ka Genius Matter e kōkua pū iā ʻoe ma ke ʻano he haumāna e hoʻomohala i kāu mau mākau alakaʻi p.

E Kaomi Maʻaneʻi

14) Hoʻomohala i kahi hoʻokele hoʻokele lanakila

  • anuu: Ke Kulanui o Illinois (Coursera)

Ma o ka Coursera platform, ke Kulanui o Ilinoi ma Urbana-champaign e hāʻawi i nā haumāna i ka hoʻokele kūʻai kūʻai manuahi i nā papa pūnaewele. Hoʻopuka ka papa i nā mea o ke kālepa a pehea e hoʻohana ai iā lākou e hana i ka waiwai no nā mea kūʻai aku.

He papa ʻekolu ʻaoʻao i hoʻokumu ʻia ma ka hoʻomaopopo ʻana i ke ʻano o ka mea kūʻai aku, ka hana ʻana a me ke kūkākūkā ʻana i nā kaʻina hana e hoʻohui i ka waiwai i ka hoʻolaha kūʻai, a laila hōʻike i nā ʻike ma o ka ʻikepili i pono i ka (mau) mana.

E Kaomi Maʻaneʻi

 15) Introduction to Genomic Technologies

  • anuu: Ke Kulanui ʻo John Hopkins (Coursera)

Hāʻawi ke Kulanui ʻo John Hopkins i kahi papa inoa manuahi manuahi me ka palapala hōʻoia ma Genomic Technologies ma o Coursera.

Loaʻa i nā haumāna ka manawa e aʻo ai a nānā i nā manaʻo o ka biology Genomic hou, a me nā ʻāpana like ʻole o ia mea. Hoʻopili kēia i ka ʻepekema ʻikepili helu a me ka biology Molecular. Ke hoʻohana nei i kēia, hiki iā ʻoe ke aʻo pehea e ana i ka RNA, DNA, a me nā ʻano Epigenetic.

E Kaomi Maʻaneʻi

16) Nā Kai a me nā Kaiāulu

  • anuu: Kulanui o Massachusetts, Boston

Ma o Open Education na Blackboard, hāʻawi ke Kulanui o Massachusetts ma Boston i kahi papa pūnaewele manuahi ma nā kahakai a me nā kaiāulu.

ʻO ke kumu holoʻokoʻa o kēia papa ke kau ʻia ma ka hāʻawi ʻana i nā haumāna i ka manawa e aʻo nui ai i ke ʻano o ke kanaka a me nā ʻōnaehana kūlohelohe e like me nā ʻōnaehana kai.

Hāʻawi kēia papa i nā haumāna e loaʻa i ka hiki ke hana i nā hoʻonā stellar i nā pilikia kaiapuni.

E Kaomi Maʻaneʻi

17) Ka Papa Hana

  • anuu: Standford (Coursera)

Hāʻawi ke Kulanui o Standford i kahi papa pūnaewele manuahi ma ke aʻo ʻana i ka mīkini. Loaʻa kēia papa ma Coursera.

ʻO ka papa e pili ana i nā manaʻo helu helu a me algorithmic e pili ana i ke aʻo ʻana i ka mīkini, nā mea hana like ʻole a me nā ʻenehana, a pehea e hoʻohana ai ia mau mea ma nā kula e like me ka biology, lāʻau lapaʻau, ʻenekinia, ʻike kamepiula, a me ka hana ʻana.

E Kaomi Maʻaneʻi

18) ʻIkepili ʻIkepili

  • anuu: Kulanui o Notre Dame

He papa ʻepekema ʻikepili manuahi kēia i loaʻa ma ke Kulanui o Notre Dame kahua aʻo pūnaewele

Eia kekahi, he koho maikaʻi loa kēia o kahi papa pūnaewele no nā haumāna e ʻimi nei e ʻike i ka ʻike ʻepekema data, ʻoiai kā lākou ʻike makemakika a me ka ʻike papahana.

E kōkua ka papa iā ʻoe e ʻike i kou ikaika ma nā ʻano kumu o ka ʻepekema Data ʻo ia ka Linear Algebra, Calculus, a me Programming.

Eia nō naʻe, hiki iā ʻoe ke hoʻoholo e hoʻonui i kāu mau haʻawina ma kēia kahua ma hope o ka hoʻokō kūleʻa ʻana o kēia papa pūnaewele pōkole.

E Kaomi Maʻaneʻi

 19) Hoʻokele Portfolio, Ke Aupuni, a me ka PMO

  • anuu: Kulanui o Wakinekona(edX)

ʻO kahi papa pūnaewele manuahi i hui pū ʻia ma Portfolio Management, The Governance, a me ka PMO e ke Kulanui o Wakinekona.

Ma waho aʻe o ke aʻo ʻana i nā haumāna i nā ʻenehana hoʻokele like ʻole e hoʻokō i nā papahana, aʻo pū kekahi e pili ana i ka Project Management Office (PMO) a pehea e mālama ai i kahi kōpili papahana olakino.

E Kaomi Maʻaneʻi

20) Noʻonoʻo noʻonoʻo a me ka Noʻonoʻo no ka Hana Hou

  • anuu: Kulanui o Queensland

ʻO ka noʻonoʻo ʻana a me ka noʻonoʻo ʻana he papa manuahi manuahi i hoʻolako ʻia e ke Kulanui o Queensland ma edX

He papa hoʻoikaika, a hoʻolako maikaʻi ʻia e paipai i nā haumāna e hoʻohana pono i kā lākou mau manaʻo a e hilinaʻi me ka noʻonoʻo a me ka noʻonoʻo. He hana maʻalahi ia me ke aʻo ʻana o ka poʻe loea i mea e hoʻokūkū ai i ka hanauna hou o nā ʻoihana ikaika.

E Kaomi Maʻaneʻi

 21) Hoʻolauna iā C++

  • anuu: Microsoft edX

He papa hoʻomaka kēia i ka ʻōlelo C++ i hoʻohana ʻia no ka hoʻolālā a me ka coding. E wehewehe pono ana i ke kākau ʻana i nā papahana ʻoiaʻiʻo.

Eia nō naʻe, he papa hoihoi loa ia a ma ke aʻo ʻana iā C ++, hiki iā ʻoe ke hana i nā noi e holo ana ma nā ʻano like ʻole o nā ʻenehana ʻenehana.

E Kaomi Maʻaneʻi

 22) Hana Pūnaewele Amazon

  • anuu: Udemy

ʻO ka Udemy pūnaewele hoʻonaʻauao kahua kahi o nā papa hele-i no nā haʻawina pūnaewele pōkole manuahi. ʻO Amazon Web Services (AWS) kahi papa pūnaewele manuahi i loaʻa ma Udemy.

Pono ka papa no kēlā me kēia mea nona ka ʻike ma IT/Tech a me ka pūnaewele kamepiula. Ma kēia papa, e aʻo ʻoe pehea e hoʻohui ai i ka AWS me ke kumu hoʻohālike e like me ka hana ʻana i kahi kikowaena pūnaewele AWS WordPress.

E Kaomi Maʻaneʻi

 23) Ka Papa Hoʻomaka o CS5O ma AI

  • anuu: Ke Kulanui ʻo Harvard (HarvardX)

Loaʻa maoli nā toni o nā papa pūnaewele manuahi i loaʻa ma ke kahua ʻo Harvard University, i kapa ʻia ʻo HarvardX. ʻO Artificial Intelligence (AI) kekahi o nā haʻawina manuahi manuahi i loaʻa ma HarvardX.

Eia kekahi, ʻo ka CS50's Introduction to Artificial Intelligence e ʻimi i nā manaʻo a me nā algorithms ma ke kumu o ka naʻauao hana hou. Holo kēia papa i nā manaʻo e hoʻoulu ai i nā ʻenehana e like me nā mīkini pāʻani pāʻani, ʻike lima kākau lima, a me ka unuhi mīkini.

E Kaomi Maʻaneʻi

24) Excel pono no ka poʻe hoʻomaka

  • anuu: Udemy

Hāʻawi ʻo Udemy i kekahi o nā papa haʻawina pōkole maikaʻi loa ma Excel. Loaʻa ka papa ma ke kahua aʻo Udemy.    

Eia naʻe, e aʻo ʻoe i nā kumu o Microsoft Excel a lilo i mea maikaʻi i loko hōʻano, hoʻonohonoho, a me ka helu ʻana i ka ʻikepili ma kahi pāpalapala. E aʻo nō hoʻi ʻoe i ka hoʻohana ʻana i nā polokalamu like Excel, a me ka ʻikepili ʻikepili i ka nānā ʻana a me ka hoʻonohonoho ʻana i ka ʻikepili.

E Kaomi Maʻaneʻi

 25) ʻO ke ʻano nui no ka biology.

  • anuu: Harvard(edX)

Hāʻawi ʻo Harvard University i nā haʻawina manuahi manuahi ma edX. He quantitative ʻO ke ala no ka biology kahi papa e hoʻolauna i nā kumu kumu o MATLAB a me nā noi olaola a me nā lāʻau lapaʻau.

He ʻoiaʻiʻo kēia he papa hoʻolauna pūnaewele manuahi maikaʻi loa no nā haumāna e makemake e loaʻa ka ʻike i ka biology, lāʻau lapaʻau, a me ka hoʻohana ʻana i ka papahana. 

E Kaomi Maʻaneʻi

FAQs no nā papa haʻawina pōkole manuahi me nā palapala hōʻoia

1) Loaʻa iaʻu nā palapala hōʻoia ma hope o ka hoʻopau ʻana i kekahi o kēia mau papa?

ʻAe, e loaʻa iā ʻoe kahi palapala hōʻoia ma hope o ka hoʻopau ʻana i kekahi o nā papa i helu ʻia ma luna. Eia naʻe, pono ʻoe e uku i kahi uku liʻiliʻi no kēia mau palapala.

2) Loaʻa kēia mau papa no nā wahi āpau?

ʻOiaʻiʻo, loaʻa nā papa no nā wahi āpau. Inā loaʻa iā ʻoe ka pūnaewele paʻa a me ka lako mana paʻa no kāu mau hāmeʻa aʻo, hiki iā ʻoe ke komo maʻalahi i kēia mau papa manuahi ma ka pūnaewele mai nā wahi āu e noho ai.

3) He aha ke kahua pūnaewele manuahi maikaʻi loa?

Nui nā pae hoʻonaʻauao pūnaewele. Eia nō naʻe, ʻo Udemy, edX, Coursera, Semrush, Udacity, a me LinkedIn ke aʻo ʻana i waena o nā kahua aʻo pūnaewele maikaʻi loa me ka loaʻa ʻana o nā papa manuahi.

Manaʻo 

Panina

ʻO ka mea maikaʻi loa e hiki ke loaʻa ke aʻo ʻana mai ka ʻoluʻolu o kou home a i ka wā e hana ana. Ua hilinaʻi nui ʻia kēia mau papa haʻawina manuahi pōkole ʻoiai ʻaʻole ia e like me nā papa maʻamau.

Eia kekahi, inā ʻoe e ʻimi nei i nā papa pūnaewele manuahi me nā palapala hōʻoia, manuahi ka papa i helu ʻia ma luna nei a hele mai me nā palapala hōʻoia i ka pau ʻana.

Hiki iā ʻoe ke koho e noi no kekahi o lākou.