Iyo post-COVID era yakauya neakawanda echokwadi cheki. Imwe yadzo inzira inokurumidza iyo nyika iri kufamba nedhijitari nevanhu vazhinji vachiwana hunyanzvi hwekuchinja hupenyu kubva mukunyaradza kwedzimba dzavo. Iwe zvino unogona kutora akawanda emahara mapfupi epamhepo makosi ane zvitupa zvingave zvinobatsira kwauri.
Zvisinei, oNe inonakidza chikamu chemahara epamhepo makosi kugona kudzidza kubva kune akanyanya kunaka mudzidzisi mune iyoyo kosi pasina kushandisa dime.
Pamusoro pezvo, haungowane chete ruzivo uye hunyanzvi hunouya nemakosi asi unowana zvitupa zvinogona kuvandudzwa muCV yako kana kutangazve.
Uyezve, zvose iwe unofanirwa kutora chikamu mune chero emahara epamhepo makosi ibasa reinternet rakagadzikana, hupenyu hwakanaka hwebhatiri kune zvigadzirwa zvako, uye zvakanyanya kukosha nguva yako, moyo murefu, uye kuzvipira. Nezvese izvi, unogona kuwana akawanda akakosha makosi, kuwana certification, uye kukwirisa nyika yedhijitari.
Zviri Mukati
Zvinhu Zvaunofanirwa Kuziva nezve Yemahara Pfupi Pamhepo Makosi
Pazasi pane zvinhu zvaunofanira kuziva nezve mapfupi online makosi:
- Haana kunyorwa mune chero kurongeka asi akanyorwa kuti asvike nyore.
- Semudzidzi kana mugari webasa, unogona kudzidza uye kushanda nekumhanya kwako wega nekushandisa aya makosi epamhepo. Iwo makosi akarongwa nenzira inochinjika kune wese munhu.
- Iwo mapfupi uye akatwasuka kusvika padanho, saka haufanirwe kunetseka nezve kushandisa nguva yakawanda mukuda kudzidza kosi.
- Mamwe emahara epamhepo makosi makosi ehunyanzvi uye mamwe ndeekutanga kutsvaga ruzivo rwekutanga. Nekudaro, kosi yega yega inouya nezvitupa zvakasiyana.
Rondedzero Yemahara Pfupi Pamhepo Makosi Ane Zvitupa
Pazasi pane rondedzero yemahara mapfupi epamhepo makosi ane zvitupa:
- E-commerce zvakakosha
- Hotera Management
- Digital Marketing
- Hutungamiri uye manejimendi hunyanzvi hwebhizinesi
- Financial engineering uye Risk manejimendi
- SEO: Keyword zano
- Kushambadzira bhizinesi diki
- Chirungu chekudzidzira basa
- Nhanganyaya yePychology
- Android Basics; User Interface
- Anatomy - munhu
- Hutungamiri uye Kutungamira
- Iyo Genius Nyaya
- Free Marketing
- Nhanganyaya kuGenomic tekinoroji
- Mahombekombe neNharaunda
- Machine pakudzidza
- Data Science
- Portfolio Management, The Governance, uye PMO
- Dhizaini kufunga uye Kugadzira Kwekuvandudza
- Nhanganyaya kuC++
- Amazon Web Service
- CS5O's Nhanganyaya kosi paAI
- Inobatsira Excel kune vanotanga
- Quantitative Nzira yeBiology.
25 Yemahara Online Makosi ane Zvitupa
1) E-commerce Essentials
- Platform: Skillshare
PaSkillshare papuratifomu, kune akawanda akakosha emahara mapfupi online makosi aunogona kutora. Imwe yacho ndeye E-commerce yakakosha pamaitiro ekutanga bhizinesi rakabudirira repamhepo. Iyo kosi iri kunyanya pamatangisa uye nemazvo kumhanyisa bhizinesi redhijitari.
In kosi iyi, vadzidzi vanogona kudzidza kugadzira nzira yakanaka yekushambadzira, kuona zvigadzirwa zvinotengeswa pamhepo, kutanga bhizinesi repamhepo, uye zvakanyanya kukosha kuvaka bhizinesi rinogara kwenguva refu uye rakabudirira.
2) Hotel Management
- Platform: Oxford Homestudy
Oxford University ndechimwe chezvikoro zvakakurumbira uye zvakanakisa munyika. Iyo Yunivhesiti inopa yemahara pfupi online kosi pane yayo Homestudy papuratifomu. Imwe yemakosi anonyanya kutsvakwa iHotera Management kosi.
Iyi kosi inowanikwa kune wese anofarira muHospitality industry. Iyo Hotera Management kosi inosanganisira kudzidza maitiro ekutungamira mahotera, manejimendi, kushambadzira, kuchengetedza imba, zvichingodaro.
3) Dhijitari Kushambadzira
- Platform: Google
Vanhu vazhinji vanoshandisa chikuva cheGoogle kuita tsvakiridzo pamisoro yakasiyana uye nevanhu, asi havasi vazhinji vanoziva kuti Google inopa akasiyana emahara mapfupi epamhepo makosi pane yayo portal kana kuburikidza neCoursera.
Imwe yeaya emahara mapfupi makosi pagoogle ndiyo Yakakosha yeDigital kushambadzira. Kosi iyi inotenderwa zvizere nemitumbi miviri inoti: Iyo Open University uye Iyo Interactive Advertising Bureau Europe.
Kosi iyi inouya nemamodule makumi maviri nenhanhatu akarongedzerwa zvizere nemienzaniso yechokwadi, mienzaniso yakasimba yedzidziso, uye maekisesaizi anoshanda anobatsira vadzidzi kufumura uye kubata izvo zvekutanga zvekushambadzira kwedhijitari uye kubatsira kwayo mune bhizinesi ravo kana basa.
4) Hutungamiri uye Unyanzvi hwekutarisira Bhizinesi
- Platform: Alison
PaAlison, iwe unopihwa akawanda emahara epamhepo makosi senge Management hunyanzvi hwebhizinesi kosi.
Vadzidzi vari kuita iyi yemahara online kosi pa manejimendi ebhizinesi vakadzidziswa zvakafanira kugadzirisa matambudziko mubhizinesi, kusimudzira hunhu, manejimendi eprojekiti, uye manejimendi emisangano. Semuridzi webhizinesi kana kutanga, iwe waizoda hunyanzvi uhu kuti uwedzere kukura uye kusimudzira bhizinesi.
5) Injiniya Yemari uye Risk Management
- Platform: Columbia University (Coursera)
Iyo Yemari Injiniya uye Njodzi manejimendi yemahara online kosi kubva Columbia University inowanikwa paCoursera. Kosi yacho inosiyana pamhando dzakareruka dzisina kurongeka, kugoverwa kweasset, uye portfolio optimization yekuongorora kuti midziyo inokanganisa sei hupfumi uye dambudziko remari.
Nekudaro, Injiniya Yemari ndeye theoretical kusimudzira mune zvemari, nepo Risk management iri maitiro ekuona nekudzora kutyisidzira musangano.
6) SEO: Keyword Strategy
- Platform: LinkedIn
Kutsvaga Engine Optimization(SEO) iri keyword zano online kosi. Inoitwa kuti iwanikwe paLinkedIn yekudzidza chikuva. Iyo kosi yaunodzidza mashandisiro emazwi akakosha kushambadzira zvigadzirwa kana masevhisi.
Iyi kosi inokubatsira iwe kukwidziridza webhusaiti yako kuburikidza nekushandisa keywords zano. Iyo ine mhedzisiro yekusimudzira chigadzirwa chako kana masevhisi pane yekutsvaga injini.
7) Diki Bhizinesi Mkuvaka
- Platform: LinkedIn
Nerubatsiro rweLinkedIn kushambadzira kwebhizinesi diki kosi, iwe waizodzidza nzira yekubudirira kukura uye kutarisira bhizinesi rako diki kuburikidza neakawanda akasimba ekushambadzira zvirongwa.
Vadzidzi vanoshandisa iyi yemahara online kosi vanodzidza akasiyana matipi uye matipi ekushandisa zvizere zviwanikwa kushambadzira chigadzirwa kana sevhisi.
Uyezve, zvinobatsira varidzi vemabhizinesi madiki mukuziva kubata nekusimudzira mabhizinesi avo.
8) Chirungu cheKuvandudza Basa
- Platform: Yunivhesiti yePennsylvania (Coursera)
Semunhu asiri mutauri wechiRungu ari kutsvaga mabasa kana madhigirii munyika idzo mutauro weChirungu. Iwe unozoda kudzidza mutauro weChirungu uye imwe nzira yaungaite nayo iri kuburikidza nekosi iyi yemahara inowanikwa online papuratifomu yeYunivhesiti yePennsylvania.
Neraki, iyi kosi yepamhepo yemahara iyo inobatsira kuwedzera ruzivo rwemunhu mazwi echiRungu.
9) Nhanganyaya kuPsychology
- Platform: Yale University (Coursera)
Nhanganyaya kuPsychology kosi yepamhepo yepamhepo inowanikwa paCoursera neYale University.
Ichi chidzidzo chine chinangwa chekupa tarisiro yakazara yezvidzidzo zvesainzi zvekufunga uye maitiro. Iyi kosi zvakare inoongorora misoro yakadai semaonero, kutaurirana, kudzidza, ndangariro, kuita sarudzo, kunyengerera, manzwiro, uye hunhu hwemagariro.
10) Android Basics: User Interface
- Platform: Udacity
Android Basic User Interface kosi yemahara yepamhepo yevanosimudzira nharembozha vanofarira android.
Kosi yacho inowanikwa paUdacity uye inodzidziswa nenyanzvi. Uyezve, iyo kosi inoda zero ruzivo mukunyora zvirongwa kana kukodha.
11) Neuroanatomy yevanhu
- Platform: University of Michigan
Kune vadzidzi ve physiology vanoda kunzwisisa uye kuwana ruzivo rwakadzama rweHuman Anatomy, iyi yemahara online kosi inowanikwa paMichigan online course platform.
Kosi yacho yakanangana neHuman Neuroanatomy. Dzidza nezvehuropi uye nepakati tsinga sisitimu: mashandiro ainoita, ruzivo rwekunzwa rwunosvika sei kuuropi, uye kuti uropi hunoendesa sei meseji kuchikamu chemuviri.
12) Hutungamiri uye Management
- Platform: Oxford Kudzidza Kumba
Iyo Hutungamiri uye Management yemahara online kosi kubva kuOxford yakagadzirwa nevakadzidza vakadzidza uye vane ruzivo nyanzvi. Uyezve, kosi yacho inowanikwa paOxford Home Study Platform.
Iwe unosvika pakudzidza nezvehutungamiriri kubva pamaonero akasiyana, dzidza hunyanzvi hutsva hunosanganisira hunyanzvi hwakaoma uye hwakapfava, uye kuvandudza kazhinji semunhu ari kutsvaga kuve mutungamiri mukuru.
13) Iyo Genius Nyaya
- Platform: Canvas Net
Iyi kosi inobatsira mukunzwisisa kukosha kwakasarudzika muchikoro chako uye nepasirese. Izvi zvinokupa iwe ruzivo rwekutanga uye kumhanyisa timu inogadzira pamwe nekubatsira vanhu vakakukomberedza kuti vawane izwi ravo rechokwadi, kurudziro yavo, pfungwa yakawedzera yekuve munhu, uye hunyanzvi hwavo.
Iyo Canvas net yemahara online kosi paGenius Matter zvakare inokubatsira iwe semudzidzi vandudza hutungamiri hwako p hunyanzvi.
14) Kugadzira Kuhwina Kushambadzira Management
- Platform: Yunivhesiti yeIllinois (Coursera)
Through the Coursera chikuva, iyo University of Illinois kuUrbana-champaign inopa vadzidzi mahara ekushambadzira manejimendi online makosi. Kosi yacho inotsanangudza pamusoro pezvinhu zvekushambadzira uye mashandisiro azvo kugadzira kukosha kune vatengi.
Iyo inzira nhatu kosi yakavakirwa pakunzwisisa maitiro emutengi, kugadzira uye kukurukura maitiro ekuwedzera kukosha kumushandirapamwe wekushambadzira, uyezve kushuma zvakawanikwa kuburikidza nedata rinobatsira kune maneja (mamaneja).
15) Nhanganyaya kuGenomic Technologies
- Platform: John Hopkins University (Coursera)
Iyo John Hopkins University inopa Yekutanga yemahara online kosi ine chitupa paGenomic Technologies kuburikidza neCoursera.
Vadzidzi vanowana mukana wekudzidza uye kuona pfungwa dzemazuva ano Genomic biology, uye zvikamu zvakasiyana zvayo. Izvi zvinosanganisira computing data sainzi uye Molecular biology. Uchishandisa izvi, unogona kudzidza kuyera RNA, DNA, uye Epigenetic mapatani.
16) Mahombekombe neNharaunda
- Platform: Yunivhesiti yeMassachusetts, Boston
Kuburikidza neDzidzo Yakavhurika neBlackboard, iyo University yeMassachusetts muBoston inopa yemahara online kosi mumahombekombe uye munharaunda.
Chinangwa chese chekosi iyi chakanangana nekupa vadzidzi mukana wekudzidza zvakanyanya kuti vanhu uye masisitimu echisikigo senge masisitimu emahombekombe anodyidzana.
Iyi kosi inogonesa vadzidzi kuti vawane kugona mukugadzira mhinduro dzenyeredzi kumatambudziko ezvakatipoteredza.
17) Machine Learning
- Platform: Standford (Coursera)
Yunivhesiti yeStandford inopa kosi yemahara yepamhepo paMachine kudzidza. Iyi kosi inowanikwa paCoursera.
Kosi yacho yakanangana neakasiyana akakosha manhamba uye algorithmic pfungwa dzinobatanidzwa mukudzidza muchina, maturusi akasiyana siyana uye matekiniki, uye mashandisiro azvo muminda yakaita sebiology, mushonga, engineering, komputa kuona, uye kugadzira.
18) Data Science
- Platform: University of Notre Dame
Iyi yemahara data sainzi kosi iyo inoitwa kuti iwanikwe paYunivhesiti yeNotre Dame online yekudzidza chikuva
Zvakare, iyi isarudzo inoshamisa yekosi yepamhepo yevadzidzi vari kutsvaga kubata ruzivo rwesainzi yedata, zvisinei neruzivo rwavo rwemasvomhu nehurongwa.
Iyo kosi inokubatsira iwe kuona simba rako mune yakakosha maficha eData sainzi ayo ari Linear Algebra, Calculus, uye Chirongwa.
Nekudaro, iwe unogona kusarudza kuenderera mberi nezvidzidzo zvako mundima iyi mushure mekubudirira kwekupedza iyi pfupi online kosi.
19) Portfolio Management, The Governance, uye The PMO
- Platform: Yunivhesiti yeWashington (edX)
Yakanyatso kuunganidzwa yemahara online kosi paPortfolio Management, Iyo Governance, uye PMO neYunivhesiti yeWashington.
Kunze kwekudzidzisa vadzidzi nzira dzakasiyana dzekutonga kuti dziite mapurojekiti, inodzidzisawo nezve Project Management Hofisi (PMO) uye kuchengetedza hutano hwepurojekiti.
20) Dhizaini Kufunga uye Kusika kweInnovation
- Platform: University of Queensland
Innovation uye Dhizaini kufunga ndeyemahara online kosi yakaitwa kuti iwanikwe neYunivhesiti yeQueensland paedX
Iyo inokurudzira, uye yakanyatsoshongedzerwa kosi inokurudzira vadzidzi kuti vashandise zvizere mazano avo uye kuve nechivimbo kugadzira uye kugadzira. Iro idanho rinoitwa zvishoma nezvishoma rinoitwa nyore nekudzidziswa kwenyanzvi kuitira kumisa chizvarwa chinotevera chemabhizinesi akasimba.
21) Nhanganyaya kuC ++
- Platform: Microsoft edX
Iyi kosi yekusuma kumutauro weC++ unoshandiswa pakuronga nekukodha. Inotsanangura zvakajeka nzira yekunyora zvirongwa zvinotendeseka zvinobudirira.
Nekudaro, iyo inonakidza kosi uye nekudzidza C++, unogona kugadzira maapplication anomhanya pane akasiyana siyana ehardware mapuratifomu.
22) Amazon Web Service
- Platform: Udemy
Iyo Udemy yepamhepo yekudzidza chikuva ndeimwe yemapuratifomu emahara mapfupi epamhepo makosi. Amazon Web Services (AWS) kosi yemahara yepamhepo inowanikwa paUdemy.
Iyo kosi inoshanda kune chero munhu ane iripo kumashure muIT / Tech pamwe necomputer network. Muchidzidzo ichi, iwe uchadzidza kubatanidza AWS neiyo gore modhi uye Gadzira iyo AWS WordPress Web server.
23) CS5O's Introductory Course paAI
- Platform: Harvard University (HarvardX)
Kune chaizvo matani emahara epamhepo makosi anowanikwa paHarvard University papuratifomu, inozivikanwa seHarvardX. Artificial Intelligence (AI) ndeimwe yeakawanda emahara online makosi anowanikwa paHarvardX.
Uyezve, CS50's Nhanganyaya kune Artificial Intelligence inoongorora pfungwa uye algorithms pahwaro hwemazuva ano hungwaru hwekugadzira. Kosi iyi inonyura mumazano anopa matekinoroji akaita semainjini ekutamba-mitambo, kuzivikanwa kwerunyoro, uye kududzira muchina.
24) Inobatsira Excel kune Vanotanga
- Platform: Udemy
Udemy inopa imwe yeakanakisa uye anodzidzisa emahara mapfupi online makosi paExcel. Kosi yacho inoitwa kuti iwanikwe papuratifomu yekudzidza yeUdemy.
Nekudaro, iwe unozodzidza zvakakosha zveMicrosoft Excel uye ugova anoshanda mukati kuronga, kuronga, uye kuverenga data muspredishiti. Iwe unozodzidza zvakare mashandisiro esoftware seExcel, uye kuongororwa kwedata mukuongorora uye kuronga data.
25) Quantitative Nzira yeBiology.
- Platform: Harvard(edX)
Harvard University inopa akawanda emahara epamhepo makosi paedX. A quantitative nzira yebiology kosi inosuma izvo zvekutanga zveMATLAB uye zvekutanga biological uye zvekurapa zvikumbiro.
Iyi zvirokwazvo yakanaka yemahara yepamhepo yekusuma kosi yevadzidzi vanoda kuwana ruzivo mubiology, mushonga, uye mashandisiro ehurongwa.
FAQs paMahara Pfupi Pamhepo Makosi ane Zvitupa
1) Ini ndinowana zvitupa mushure mekupedza chero yeaya makosi?
Ehe, iwe uchawana chitupa mushure mekupedza chero yeaya akanyorwa pamusoro makosi. Zvisinei, unosungirwa kubhadhara mari shoma yezvitupa izvi.
2) Kosi idzi dziripo here kumatunhu ese?
Ehe, makosi anowanikwa kumatunhu ese. Chero bedzi iwe uine internet yakagadzikana uye yakagadzikana magetsi ekushandisa kwako ekudzidzira, unogona kuwana zviri nyore aya makosi emahara online kubva kupi kwaunowanikwa.
3)Ndeipi yakanakisa yemahara online papuratifomu?
Kune akawanda online kudzidza mapuratifomu. Nekudaro, Udemy, edX, Coursera, Semrush, Udacity, uye LinkedIn kudzidza zviri pakati peakanakisa online kudzidza chikuva nekuwana makosi emahara.
Nyaya
- Makosi emahara epamhepo ane zvitupa muSouth Africa
- Yakanakisa MBA online makosi
- Zvakanakisa online makosi evechidiki
- Zvemahara zvekurapa mubatsiri online makosi
- Online mayunivhesiti muUSA.
mhedziso
Chinhu chakanakisa chinogona kuitika kudzidza kubva mukunyaradza kweimba yako kana uchishanda. Aya mapfupi emahara epamhepo makosi anga akavimbika uye anoshanda kunyangwe asina kusimba zvizere seakajairwa makosi.
Zvakare, kana iwe uchitsvaga emahara online makosi ane zvitupa, kosi yakanyorwa pamusoro ndeyemahara uye unouya nezvitupa kana wapedza.
Iwe unogona kusarudza kunyorera chero ipi zvayo.