Makemake ʻoe i ka loaʻa ʻana o kahi palapala hōʻoia i ka ʻoihana analytics? Inā pēlā, laki ʻoe! Nui nā kula kiʻekiʻe e hāʻawi ana i nā papahana ʻikepili ʻoihana pūnaewele me nā palapala hōʻoia o ka hoʻopau ʻana. Loaʻa kekahi o kēia mau papahana me ka uku ʻole.

ʻO kahi palapala hōʻoia i ka ʻoihana ʻoihana a i ʻole kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele e hoʻolako iā ʻoe me nā mākaukau e pono ai ʻoe e ʻimi i kahi ʻoihana ma kēia kahua.

He palapala hōʻoia pūnaewele e maʻalahi ke kūpono i kāu mau haʻawina e pili ana i ka hana a me nā kuleana ʻohana.

E heluhelu e ʻike i nā papahana ʻoihana ʻoihana ʻoihana pūnaewele maikaʻi loa me nā palapala hōʻoia!

He aha ke kumu o ka ʻikepili ʻoihana?

Nui nā kumu e hana ai nā kānaka i ka ʻikepili ʻoihana. Hoʻohana ʻia ka ʻikepili, ka ʻikepili helu, a me ka hōʻike ʻana i ka ʻikepili ʻoihana e nānā a loiloi i ka hana ʻoihana, hāʻawi i nā ʻike, a hana i nā manaʻo e hoʻomaikaʻi i ka hana.

Ka papa inoa o nā polokalamu ʻoihana ʻoihana ʻoihana pūnaewele maikaʻi loa me ka palapala hōʻoia

Aia ma lalo kahi papa inoa o nā papahana hōʻoia hōʻoia ʻoihana ʻoihana maikaʻi loa:

1. ʻO ke kula ʻo Harvard Business Analytics Course
2. ʻO Wharton's Business Analytics Specialization
3. ʻO Stanford Executive Education
4. Ka Papahana Hoʻopalekana Ikepili CareerFoundry
5. MIT Sloan School of Management Applied Business Analytics Certificate
6. Punawai Ikepili Ikepili Track Career
7. Excel i MySQL: Analytic Techniques for Business Specialization e Duke University
8. Nānā Pāʻoihana - Polokalamu Nanodegree
9. Nā Kuleana Hoʻolaha Pāʻoihana e Babson College
10. ʻIkepili pāʻoihana no ka hoʻoholo ʻana i ka ʻikepili e ke Kulanui ʻo Boston.
11. Heluhelu no ka ʻIkepili Pāʻoihana a me ka ʻIkepili ʻIkepili AZ™
12. ʻO ka hōʻoiaʻiʻo ʻana i ka MicroMasters Business Analytics na Columbia University (edX)
13. Hoʻolaha ʻia ʻo Strategic Business Analytics e ke kula ʻoihana ʻo Essec
14. ʻO Wharton Business Analytics Online Certificate Program
15. ʻO ka papa aʻo a me ka hōʻoia ʻana o Cloudera Data Analyst
16. ʻO ka Advanced Business Analytics Specialization e ke Kulanui o Colorado.
17. Ka Ikepili Ikepili a me ka Hōʻike Manaʻo: ka PwC Approach Specialization
18. Palapala hōʻoia ʻikepili ʻikepili BrainStation
19. Papa Kaiapuni Ikepili Noʻonoʻo
20. ʻO ka papa ʻikepili ʻikepili hui nui.

20 Nā papahana hōʻoia ʻoihana ʻoihana pūnaewele

1. ʻO ke kula ʻo Harvard Business Analytics Course

He mea kūpono kēia papa hoʻomaka no ka poʻe makemake e aʻo i nā kumu o ka ʻikepili ʻikepili, inā he haumāna kulanui ʻoe a i ʻole puka puka e hoʻomākaukau ana no kahi ʻoihana i ka ʻoihana, he ʻoihana waena waena e ʻimi nei e hoʻomohala i kahi noʻonoʻo ʻikepili hou aʻe, a inā ʻoe. Ke noʻonoʻo nei ʻoe i ka lawe ʻana i kahi papa ʻikepili ʻikepili piha a makemake wale e hoʻomaʻamaʻa mua i kāu mau mākau analytical.

He koho maikaʻi kēia no nā papahana ʻikepili ʻoihana pūnaewele me nā palapala hōʻoia inā makemake ʻoe e hoʻopaʻa i kou manamana wāwae me ka ʻole o ka hoʻolilo ʻana i ka manawa a me ke kālā.

Hāʻawi ʻia ia ma ka pūnaewele holoʻokoʻa, ma kahi wikiwiki wikiwiki, a ma ke kumu kūʻai kūpono.

2. ʻO Wharton's Business Analytics Specialization

Hāʻawi ʻo Wharton University i kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele. Ua hoʻokumu ʻia kēia ʻoihana Analytics Business e ke Kula ʻo Wharton no ka poʻe makemake e aʻo pehea e hoʻohana ʻia ai ka ʻikepili nui e hana i nā koho ʻoihana.

E ʻike ʻoe i ke ʻano o ka wehewehe ʻana, wānana, a me ka hoʻomaopopo ʻana i nā hoʻoholo ʻoihana.

ʻO nā papa i hoʻopaʻa ʻia e like me:

• Kālailai mea kūʻai mai
• Hana Analytic
• Nānā Kanaka
• Heluhelu helu.

Eia nō naʻe, i loko o ka papa, e aʻo nā haumāna pehea e hoʻopili ai i kā lākou mau ʻoihana loiloi ʻoihana i kahi paʻakikī honua maoli e kū nei nā pilikua pūnaewele e like me Yahoo, Google, a me Facebook. e hāʻawi ʻia lākou i kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele a me ka hoʻoikaika ʻana i kā lākou mākaukau i ka hoʻoholo ʻana ma muli o ka ʻikepili.

3. ʻO Stanford Executive Education

Hāʻawi kēia papahana i ke komo like ʻole i ka papahana Stanford ma kekahi ʻoihana ʻoihana. ʻO Stanford kekahi o nā ʻO nā kula ʻepekema ʻikepili maikaʻi loa ma ka honua a me ke kula kiʻekiʻe a hanohano ma US.

E kōkua ka papahana hōʻoia ʻoihana pūnaewele iā ʻoe e Loaʻa i nā mākau i hoʻokumu ʻia e ka Employer-Valued Skills a kū i waho i ka Honua Hui.

Hiki iā ʻoe ke loaʻa nā mākau ʻikepili koʻikoʻi i ka manawa pōkole.

4. Ka Papahana Hoʻopalekana Ikepili CareerFoundry

Hoʻolālā ʻia ka Polokalamu ʻIkepili ʻInikua CareerFoundry no ka poʻe makemake e aʻo pehea e lilo ai i mea ʻikepili ʻikepili mai ka honua mai.

ʻO kēia papahana ʻikepili pāʻoihana pūnaewele me kahi palapala hōʻoia kekahi o nā mea piha loa ma ka mākeke, me kahi haʻawina lima lima, kahi ala aʻoaʻo ʻelua, kahi hōʻoia hana, aʻo ʻoihana, a me kahi kaiāulu haumāna ikaika.

Eia nō naʻe, ʻewalu mau mahina e hoʻopau ai ka papahana Ma ka helu o 15 mau hola i kēlā me kēia pule. ʻO ia iho ka wikiwiki; hiki iā ʻoe ke hana i kāu manawa ponoʻī, akā pono ʻoe e hoʻopili i nā lā palena kūikawā e hoʻomau i ke ala no ka hoʻopau ʻana i ka manawa. ʻO ka CareerFoundry Data Analytics Program he $6,900 USD (a i ʻole $6,555 USD inā e uku piha ʻia koke).

5. MIT Sloan School of Management Applied Business Analytics Certificate

ʻO nā limahana ʻenehana ʻole makemake e aʻo pehea e hoʻohana ai i ka ʻikepili ʻikepili no ka ʻoihana e pōmaikaʻi mai ka papa MIT Sloan.

He koho maʻalahi loa kēia inā ʻoe e hana ana i ka manawa piha a me ka mālama ʻana i kahi papa hana paʻa, no ka mea, paʻa loa ia ma ka pūnaewele a koi wale ʻia ʻehā a ʻeono mau hola o ke aʻo ʻana i kēlā me kēia pule.

Ma ke ʻano o ke kumukūʻai, ʻo kēia kekahi o nā papa ʻoi aku ka uku ma ka mākeke.

Kūkulu ʻia ka papa a puni kahi pūʻulu o nā haʻawina hihia e hōʻike ana i ka hoʻohana ʻana o nā ʻoihana maoli i ka ʻikepili ʻikepili i ko lākou pono.

Inā makemake ʻoe e loaʻa i nā ʻenehana hou aʻe, hiki iā ʻoe ke aʻo ma o nā kamaʻilio kamaʻilio, nā hoʻomaʻamaʻa lima, a me nā snippet code koho no R a me Python. E loaʻa iā ʻoe kahi palapala kikohoʻe i hōʻoia ʻia mai MIT Sloan ke pau ʻoe i ka papa.

6. Punawai Ikepili Ikepili Track Career

ʻO ka palapala hōʻoia ʻikepili Springboard no ka poʻe me ʻelua mau makahiki o ka ʻike loea a me ka hiki ke hōʻike ʻia no ka noʻonoʻo koʻikoʻi a me nā hopena pilikia.

He haʻawina ʻeono mahina kēia e koi ai ka hapa nui o nā haumāna e hoʻolaʻa i nā hola 15-20 i kēlā me kēia pule. ʻO ka papahana he $6,600 USD (me ka 17 pakeneka ho'ēmi inā hiki iāʻoe ke uku i ke kula holoʻokoʻa ma mua).

ʻO kēia kekahi o nā papahana ʻikepili ʻoihana pūnaewele maikaʻi loa me nā palapala hōʻoia.

7. Excel i MySQL: Analytic Techniques for Business Specialization e Duke University

Hāʻawi ʻo Duke University i kahi papahana ʻikepili ʻoihana pūnaewele me nā palapala hōʻoia i ka hui pū ʻana me Coursera.

E aʻo ʻoe e kālailai i ka ʻikepili, kūkulu i nā wānana a me nā hiʻohiʻona, hoʻolālā i nā hiʻohiʻona, a hōʻike i kāu ʻike me ka hoʻohana ʻana i nā mea hana maʻalahi a me nā ala e like me Excel, Tableau, a me MySQL.

Hāʻawi kēia papa i kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele. Eia nō naʻe, ʻelima mau papa o ka papahana, e mau ana kēlā me kēia ma waena o 4-6 mau pule a me 3-5 mau hola i kēlā me kēia pule.

I kēia manawa, manaʻolana nā haumāna e loaʻa nā hopena i lalo:

• E aʻo i ka ʻike ʻana i nā metric ʻoihana koʻikoʻi a hoʻokaʻawale iā lākou mai ka ʻikepili maʻamau
• E hoʻomākaukau e hoʻolālā a hoʻokō i nā hiʻohiʻona wānana maoli ma muli o ka ʻikepili
• E aʻo i ka ʻike ʻikepili kūpono me Tableau
• E hoʻomaopopo i ka hana ʻana o nā waihona pili
• Pāhana lima e hoʻohana i nā ʻenehana i aʻo ʻia i kahi pilikia honua maoli.

8. Nānā Pāʻoihana - Polokalamu Nanodegree

Hāʻawi ʻo Udacity i kahi papa 3 mahina e kōkua iā ʻoe e kiʻi i kahi papahana ʻikepili ʻoihana pūnaewele me kahi palapala hōʻoia ma ka hopena o ka papahana. Hoʻopili ka papa i ka hoʻohana ʻana iā SQL, Excel, a me Tableau e hōʻiliʻili a loiloi i ka ʻikepili, hana i nā hiʻohiʻona ʻoihana, a wehewehe i kāu hopena.

ʻO ka manaʻo nui o ka papahana ma nā papahana kahi e hoʻomaʻamaʻa ai nā haumāna i nā ʻenehana a lākou i aʻo ai a hoʻomaikaʻi i kā lākou mau talena.

9. Nā Kuleana Hoʻolaha Pāʻoihana e Babson College

Ma edX, hāʻawi ke kula ʻo Babson i kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele i nā haumāna i hoʻopau i ka papahana ma ka hopena o ka pule 4th pule o nā papahana ʻikepili ʻoihana pūnaewele me kahi palapala.

Eia naʻe, mālama ʻo edX i kekahi o nā ʻO nā kula ʻoihana ʻenehana pūnaewele maikaʻi loa.

Hoʻopili ka papa i nā ʻāpana koʻikoʻi:

• ʻIkepili Collection
• Hōʻike ʻIkepili
• NāʻIke Heluhelu
• Kūleʻa Kumu
• Helu helu
• Ke hana ʻana i nā kumu hoʻohālike Linear.

Eia naʻe, e uhi ʻia nā ʻano ʻikepili kumu, nā ʻano laʻana, a me nā noiʻi. Ma ka papahana holoʻokoʻa, hoʻohana ʻia nā pūʻulu ʻikepili maoli i nā ʻano hana like ʻole a me nā papahana.

Ua hoʻonohonoho maikaʻi ʻia nā haʻawina a me ka hoʻomaʻamaʻa ʻana i mea e maʻalahi ai ka hoʻomaopopo ʻana.

10. ʻIkepili pāʻoihana no ka hoʻoholo ʻana i ka ʻikepili e ke Kulanui ʻo Boston

Hāʻawi ka laina ʻo Boston University Lin me edX i nā ʻikepili ʻoihana no ka hana ʻana i nā hoʻoholo hoʻoholo i ka ʻikepili. He polokalamu ʻikepili ʻoihana pūnaewele kēia me nā palapala hōʻoia. ʻO ka pahuhopu o kēia papa e aʻo iā ʻoe pehea e hoʻohana ai i nā ʻano analytic e hana i nā hoʻoholo ʻoihana ʻoi aku ka maikaʻi.

He ʻāpana kēia papa o ka papahana Digital Product Management a me Digital Leadership MicroMasters. He papa pae kiʻekiʻe kēia e koi ana i ka ʻike kumu o ka ʻikepili ma ke ʻano he koi. No ka poʻe pono e hoʻokele i nā pūʻulu o nā mea noiʻi ʻoihana a me nā ʻepekema data, a i ʻole makemake e hana i kā lākou ʻikepili ʻikepili ponoʻī.

Eia nō naʻe, hāʻawi ʻo Boston University i kekahi o nā ʻO nā Degere pūnaewele maʻalahi loa.

11. Heluhelu no ka ʻIkepili Pāʻoihana a me ka ʻIkepili ʻIkepili AZ™

Ma Udemy, aʻo ʻo Kirill Eremenko i kahi papahana ʻoihana ʻoihana ʻoihana pūnaewele me kahi palapala hōʻoia. ʻO kēia papa no ka poʻe hoihoi e aʻo i nā helu mai ka honua.

He kūpono ia no nā poʻe e hana nei ma ke ʻano he ʻepekema data a i ʻole nā ​​​​mea loiloi ʻoihana e pono e hoʻomaʻamaʻa i kā lākou mau helu helu.

Eia hou, he kumu kaulana loa ʻo Kirill Eremenko ma Udemy, me ka helu 4.5 a kokoke i 900,000 mau haumāna ma lalo o kāna aʻo ʻana.

Hāʻawi ʻo ia i nā haʻiʻōlelo ma ke ʻano māmā, me nā laʻana he nui e kōkua i nā haumāna e hoʻomaopopo i nā manaʻo paʻakikī loa.

Hoʻohui ʻia kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele i ʻike ʻia ma nā wahi āpau o ka honua.

12. ʻO ka hōʻoiaʻiʻo ʻana i ka MicroMasters Business Analytics na Columbia University (edX)

Hāʻawi ke Kulanui ʻo Columbia i kahi papahana MicroMasters ma Business Analytics ma ke kahua edX. He manawa kūpono ka papahana e loaʻa ai kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele.

Hoʻopili nā papa haʻawina 4 Masters i kēia mau kumuhana:

• ʻIkepili ma Python
• ʻIkepili, Nā hiʻohiʻona, a me nā hoʻoholo i ka ʻikepili ʻoihana
• Nānā i nā koi a me nā lako
• ʻIkepili Kūʻai.

13. Hoʻolaha ʻia ʻo Strategic Business Analytics e ke kula ʻoihana ʻo Essec

Hāʻawi ʻo Essec Business School i kahi Coursera Specialization. ʻO ka papa no nā haumāna a me nā ʻoihana e makemake e aʻo pehea e hoʻohana ai i ka ʻikepili ʻoihana a me ka ʻikepili nui i nā kūlana honua maoli. Hoʻopili ia i kahi ākea ākea o nā ʻano loiloi ma waena o nā ʻoihana like ʻole, e like me ka media, kamaʻilio, a me ka lawelawe aupuni.

I ka pau ʻana o ka 16-week online Business analytics program me kahi palapala hōʻoia o ka hoʻopau ʻana, ua lako nā haumāna i kēia mau mākau:

• ʻO ka wānana a me ka wānana ʻana i nā hanana, ka hoʻokaʻawale ʻana i nā mea kūʻai aku, a me ka helu ʻana i nā helu mea kūʻai aku a me ka waiwai o ke ola he mau hiʻohiʻona liʻiliʻi o nā haʻawina hihia lima ma nā kūlana ʻoihana honua maoli.
• ʻO ka mining kikokikona, ka nānā ʻana i ka ʻoihana pūnaewele, ka nānā ʻana i ka manaʻo, ke koho manawa maoli, a me ka loiloi hoʻolaha pūnaewele nā ​​mea āpau āu e ʻike ai.

14. ʻO Wharton Business Analytics Online Certificate Program

Hoʻonohonoho ʻia kēia papa pūnaewele no nā luna a me nā luna e makemake e aʻo pehea e hiki ai i ka hōʻikepiliʻikepili ke kōkua iā lākou e hoʻoholo maikaʻi.

He ala haʻahaʻa kēia e aʻo ai i nā loina o ka ʻikepili ʻikepili no ka ʻoihana inā ʻoe e hoʻāʻo nei e holomua i kāu hana o kēia manawa a alakaʻi i kāu hui i ka holomua (ma mua o ka hoʻololi ʻana i kahi ʻoihana i ka ʻikepili ʻikepili).

Hoʻokaʻawale ʻia kēia papa i ʻeiwa mau ʻāpana e alakaʻi iā ʻoe ma o nā ʻano ʻano o ka ʻikepili ʻikepili, a me nā ala koʻikoʻi a me nā mea hana.

Hāʻawi ʻia nā mea o ka papa ma o ka hui ʻana o nā wikiō a me nā haʻiʻōlelo ola pūnaewele. E hana ʻoe ma nā haʻawina kikoʻī a loaʻa nā manaʻo manaʻo i ka manawa like. Eia kekahi, e loaʻa iā ʻoe kahi palapala hōʻoia ʻoihana ʻoihana pūnaewele mai Wharton ke hoʻopau ʻoe i ka papa.

15. ʻO ka papa aʻo a me ka hōʻoia ʻana o Cloudera Data Analyst

E kōkua kēia papa iā ʻoe e lawe i kāu hiki i ka ʻikepili i ka pae aʻe inā ʻoe e hana i kahi hana ʻenehana a anamanaʻo paha.

Pono nā mea loiloi ʻikepili, nā loea naʻauao pāʻoihana, nā mea hoʻomohala, nā mea hoʻolālā ʻōnaehana, a me nā luna hoʻomalu waihona e makemake e aʻo pehea e hana ai me ka ʻikepili nui a hōʻoia i ko lākou hiki ke lawe i kēia papa. Pono ʻoe i ka ʻike SQL a me ka ʻike i ka laina kauoha Linux.

ʻEhā mau lā piha ka papa e hoʻopau ai, akā ʻo ke koho ma ke koi e hiki iā ʻoe ke hana ma kāu wikiwiki. E lilo ia i $3,195 USD inā koho ʻoe i ka lumi papa virtual.

Ma $2,235 USD, ʻoi aku ka liʻiliʻi o ke kumu kūʻai ma ke koi.

Pono he $295 USD hou no ka hōʻike ʻana i ka CCA Data Analyst. Hiki iā ʻoe ke nānā i kekahi o nā Ke kēkelē laepua maikaʻi loa no ka ʻepekema kamepiula ma ka pūnaewele.

16. Hoʻolaha Kūikawā Pāʻoihana Kūikawā e ke Kulanui o Colorado

Hāʻawi ʻia ka Advanced Business Analytics Specialization ma ke ʻano he ʻāpana o ka Masters of Business Analytics Program ma ke Kulanui o Colorado Boulder Leeds School of Business i ko lākou kahua hoʻomoana kauwela. Kuhi ʻia kēia haʻawina i ke aʻo ʻana i nā mana loiloi ʻoihana honua maoli i hiki iā ʻoe ke hoʻohana i ka ʻikepili e hoʻoponopono i nā pilikia ʻoihana paʻakikī.

E aʻo pū nā haumāna i nā mākau hana e like me ka unuhi ʻana a me ka hoʻohana ʻana i ka ʻikepili me ka hoʻohana ʻana i ka code SQL, pehea e hana ai i ka wehewehe wehewehe, wānana, a me ka hoʻopaʻa ʻana i ka helu helu helu, a pehea e kālailai, hoʻomaopopo, a wānana i nā hopena analytical.

He ʻelima mau papa o kēia ʻoihana:

1. Hoʻomaka i ka ʻikepili ʻikepili no ka ʻoihana
2. Hoʻohālike wānana a me nā ʻikepili
3. ʻIkepili pāʻoihana no ka hoʻoholo ʻana
4. Ke kamaʻilio ʻana i nā hopena ʻikepili ʻoihana
5. ʻO Capstone ʻOihana Pāʻoihana Kiʻekiʻe.

17. Ka Ikepili Ikepili a me ka Hōʻike Manaʻo: ka PwC Approach Specialization

Ua hui pū ʻo PwC a me Coursera e hana i kēia papa no nā haumāna hou i ke kumuhana o ka ʻikepili a me ka ʻikepili.

ʻO ka hopena, ʻaʻohe ʻike mua o ka ʻikepili ʻoihana a i ʻole nā ​​helu helu.

No ka hoʻopau ʻana i kekahi o nā hoʻomaʻamaʻa ma ka papa, pono ʻoe iā PowerPivot a me MS Excel.

Manaʻo ʻia nā haumāna e hoʻokō i kēia mau hiʻohiʻona i ka wā o nā wiki he 21 o ka papa hana:

• E aʻo pehea e hoʻolālā ai i kahi hoʻolālā e hoʻoponopono i kahi pilikia ʻoihana me ka hoʻohana ʻana i ka ʻikepili a me ka ʻikepili.
• E aʻo pehea e hana ai i nā ʻikepili a me nā hiʻohiʻona ʻikepili me PowerPivot.
• E aʻo pehea e hoʻohana ai i nā formula Excel e kālailai i ka ʻikepili a hōʻike i ke ʻano o nā kiʻi.

18. Palapala hōʻoia ʻikepili ʻikepili BrainStation

ʻO ka papa ʻo BrainStation kahi o nā mea koho manawa liʻiliʻi iki ma kā mākou papa inoa, he 10 mau pule wale nō ma kahi manawa manawa-maikaʻi inā ʻaʻole ʻoe mākaukau e hana i kahi papahana lōʻihi.

Na kēia papa e aʻo iā ʻoe i nā mea pono o ka ʻikepili ʻikepili, e ʻae iā ʻoe e hoʻohana i kāu mea i aʻo ai i kāu hana o kēia manawa a i ʻole e ʻimi i ka hoʻonaʻauao hou.

He mea pono ke hoʻomaopopo ʻia ʻaʻole i nānā pono ka papa BrainStation i ka hoʻololi ʻana i nā ʻoihana ma mua o kekahi o nā koho ʻē aʻe i loaʻa.

19. Papa Kaiapuni Ikepili Noʻonoʻo

ʻO ka papahana Thinkful kahi papahana immersion manawa piha i piha i ʻehā mau mahina e hoʻohiki e lawe iā ʻoe mai ka mea hoʻomaka a pau i ka loiloi ʻikepili mākaukau hana.

Inā makemake ʻoe e hoʻomaka i kahi ʻoihana ma ka ʻikepili hōʻiliʻili a loaʻa ka manawa a me ke kālā e hoʻopukapuka, ʻaʻohe mea kānalua kēia o kekahi o nā papahana ākea e hiki ai.

Eia kekahi, inā ʻoe e ʻimi nei e hoʻomaka i kahi ʻoihana ma ka ʻoihana, e hoʻomanaʻo ʻaʻole e hōʻoiaʻiʻo ka papa Thinkful i kahi hana. Ma ke kumu manawa piha, ʻehā mau mahina e hoʻopau ai ka papa Thinkful (ma kahi o 50-60 mau hola i kēlā me kēia pule).

20. ʻO ka papa ʻikepili ʻikepili hui nui

Inā ʻaʻole ʻoe e ʻimi nei e hana ma ke ʻano he loiloi data akā makemake ʻoe e aʻo i kekahi o nā mākau koʻikoʻi a me nā mea paahana, he wahi maikaʻi loa ka papahana General Assembly e hoʻomaka ai.

ʻEhā hola wale nō i kēlā me kēia pule a uhi ʻia i ka lepo.

He papahana hoʻomaka kēia i kūpono no nā poʻe hoʻomaka ʻoihana a me nā mea hoʻololi hana e makemake ana e hoʻomohala i kahi hoʻonohonoho mākaukau. He mea maikaʻi loa ia no nā mea kūʻai aku a me nā luna huahana e makemake ana e holomua i kā lākou ʻoihana a me nā ʻikepili ʻikepili e makemake e hoʻomaʻamaʻa i kā lākou mākaukau.

ʻEhā hola i kēlā me kēia pule, he ʻumi pule e pau ai ka papa. ʻO kahi ʻē aʻe, loaʻa kahi ala ikaika hoʻokahi pule. He mea nui e hoʻomanaʻo e hoʻopau ʻia ka hapa nui o kāu hana papahana ma waho o nā hola papa.

Pinepine ninau ninaninau 'ana i

Hiki iaʻu ke aʻo i ka ʻikepili ʻoihana ma oʻu iho?

Hiki iā ʻoe ke hoʻopaʻa inoa ma nā papa pūnaewele a hoʻomaopopo i nā kumu o ka ʻikepili ʻoihana inā ʻoe he ʻoihana hana. Loaʻa nā pōmaikaʻi aʻe me kahi ʻike aʻo pūnaewele: Hiki iā ʻoe ke aʻo ma kāu wikiwiki.

He kahua makemakika anei ka ʻikepili ʻoihana?

ʻAʻole koi ʻia nā ʻikepili ʻoihana, kūʻē i ka manaʻo kaulana, i ka ʻike coding nui, ka makemakika, a i ʻole ka ʻike ʻepekema kamepiula. He koho hana maikaʻi loa ia no ka poʻe mahalo i ka hoʻoponopono ʻana i nā pilikia paʻakikī a hāʻawi i nā ʻōlelo aʻoaʻo e pili ana i nā ʻike maoli.

He mea pono anei ke hoʻopaʻa inoa no ka ʻikepili ʻoihana?

ʻO ka hana a ka mea loiloi ʻoihana ʻoi aku ka loiloi a me ka hoʻoponopono pilikia ma ke ʻano. ʻOi aku ka manaʻo o lākou i nā hopena ʻoihana o ka papahana ma mua o kāna mau ʻano loea. ʻO ka hopena, ʻaʻole pono ka ʻike ʻana i ke code no ka mea loiloi ʻoihana.

Aia kahi kumu no ka loiloi ʻoihana?

ʻO ka Master of Business Administration me kahi mea nui ma Business Analytics he papahana STEM e manaʻo nei e hoʻonaʻauao i nā haumāna me kahi kumu ākea o ka ʻike no ka hoʻoholo ʻana i ka ʻikepili.

Nā ʻōlelo aʻoaʻo kiʻekiʻe

• 20 Masters maikaʻi loa i ka ʻepekema data ma ka pūnaewele - papahana papahana
• 15 ʻO nā polokalamu ʻoihana ʻoihana maikaʻi loa ma ka honua
• ʻO nā haʻawina hoʻonaʻauao kūʻokoʻa aupuni maikaʻi loa me nā palapala hōʻoia
• 10 ʻO nā polokalamu palapala hōʻoia pūnaewele maikaʻi loa ma Texas.

Panina

ʻO ka mea hope loa, ʻO ka palapala hōʻoia ʻoihana ʻoihana ma ka pūnaewele he māla ulu a he nui nā kula e hāʻawi i nā papahana palapala hōʻoia pūnaewele no nā haumāna e makemake ana e loaʻa kā lākou palapala hōʻoia me ka ʻole e hele i ka pā kula.

Eia nō naʻe, hiki i kahi palapala hōʻoia i ka ʻikepili ʻoihana ke kōkua iā ʻoe e hoʻomaka i kahi ala ʻoihana ma kēia kahua hoihoi. ʻO ka ʻoiaʻiʻo, e like me ka Bureau of Labor Statistics, ke ulu wikiwiki nei nā manawa hana no ka poʻe helu helu ma mua o ka awelika. Lana ko mākou manaʻo e kōkua kēia papa inoa iā ʻoe e ʻike i nā papahana ʻikepili ʻoihana pūnaewele maikaʻi loa me nā palapala hōʻoia no ʻoe.