Iwo akanakisa emahara epamhepo makosi paHarvard University ane chitupa akanyorwa uye akatsanangurwa muchinyorwa ichi, uye aya makosi anogona kutorwa kubva mukunyaradza kweimba yako zviri nyore.
Uri kutsvaga emahara online Harvard University online makosi kuti ubatsire kusimudzira iwe, uye kuwedzera kushambadzira kwako, saka iwe uri munzvimbo chaiyo? Isu takanyora mamwe emahara epamhepo makosi anowanikwa kuHarvard University, aunogona kutanga kutora izvozvi.
Chipo chakanakisa chaungazvipa iwe kuzvivandudza iwe pachako. Mazhinji emahara epamhepo makosi anobvumira munhu wese kuwana ruzivo rwakawanda uye kuwedzera yavo employability simba.
Harvard University yemahara online makosi anowanikwa munzvimbo dzakasiyana siyana. Zvidzidzo izvi zvinozivikanwa se MOOCs (Massive Open Online Courses). Chero ani anobva kupi zvako pasirese anogona kuwana, kunyoresa uye kudzidza kubva kune aya epamusoro makosi epamhepo kubva kuvadzidzisi vepamusoro pasirese.
Ini ndinogona kuwana emahara online makosi kuHarvard University?
Ehe, Harvard University inopa emahara makosi anogona kutorwa online, ndizvo zvinotaurwa nechinyorwa ichi.
Zvinogona kukufadza iwe kuziva kuti vese alumni veHarvard University vakapararira pasirese havasi vese vakauya kuHarvard kuzodzidza. Pakati pe360, 000 alumni yeHarvard, vazhinji vavo vakadzidza pamhepo parunyararo rwemusha wavo nenyika uye vakagamuchira zvitupa zvinodhinda mushure mekupedza chirongwa.
Kana iwe usingade kubatikana nezvidzidzo zvekirasi asi iwe uchida kudzidza kuHarvard, ungangoda kugadziridza yavo yemahara online makosi ane zvitupa.
Ko Harvard online emahara makosi akakodzera here?
Pane zvakanakira uye zvakaipira zvine chekuita nemahara epamhepo makosi paHarvard University. Zvitupa zvinogona kuwanikwa nemunhu mushure mekupedza zvidzidzo izvi zvinogona kuenda kure mukuwedzera mikana yekuti munhu awane basa. Chitupa cheHarvard chichaita kuti kutangazve kwako kuve kwakakosha.
Izvo zvakakoshawo kuti iwe uzive kuti aya makosi ndeemahara, asi ungangoda kubhadhara imwe mari kuti uwane chitupa chinodhinda. Izvi zvichashanda sehumbowo hwekuti watora makosi aya uye wawana ruzivo rwunodiwa
Tichifunga kuti haufanirwe kubhadharira ruzivo uye unogona kudzidza kumba, emahara online makosi anowanzo kukosha.
Rondedzero yeakanakisa emahara epamhepo makosi paHarvard
- Nhanganyaya kune accounting uye zvemari zvirevo
- CS50 Nhanganyaya yeKuvandudza Mutambo
- CS50: Nhanganyaya kuComputer Science
- CS50 yemagweta
- Nhanganyaya kune digital humanities
- Hunyanzvi hwemabhuku enyika
- Rhetoric: Unyanzvi hwekunyengetedza Kunyora uye Veruzhinji Kutaura
- AnatomyX: Musculoskeletal Cases
- General Psychiatric Management yeBPD
- Ruzivo rweSainzi: Kuzeya
- Sainzi yedata: Linear Regression
- Data Sayenzi: Machine Kudzidza
- Data Sayaneti: R Basics
- Sainzi yedata: Zvinogoneka
Gara Uchiziva Group yakanyora mamwe eanonyanya kufarirwa yunivhesiti yeHarvard online makosi, ayo iwe aunogona kutora kuti urerutse CV yako uye uzviite kuti uwedzere kushandika, kana akakodzera kukwidziridzwa munzvimbo yako yebasa.
Nhanganyaya kune accounting uye zvemari zvirevo
Nhanganyaya yeAccounting uye Financial Statements webinar series yezvisina purofiti yakagadzirirwa kuunza vanhu vane ruzivo rushoma kana vasina ruzivo mune zvemari kana zvehupfumi kune basic accounting concepts uye zvirevo zvemari.
Iyi yega-paced webinar inoitwa pamwe chete neHarvard Kennedy School's Nonprofit Financial Management Executive Chirongwa. Webinar ichaitwa naEric Schwartz, Managing Director wePricewaterhouseCoopers National Assurance Health Services.
Ndokumbira utarise kuti hapana kugamuchirwa kwechitupa chekupedzisa iyi webinar series.
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CS50 Nhanganyaya yeKuvandudza Mutambo
Kuti unzwisise kuti mitambo yemavhidhiyo inoitwa sei, mune izvi free online cyedu paHarvard Yunivhesiti iwe uchadaro dzidza nezve magadzirirwo emitambo yevana: Super Mario Bros, Legend of Zelda, Angry Shirds, Pong, Flappy Bird, Breakout, Match 3, Pokémon, 3D Helicopter Game, Dreadhalls, nezvimwe.
Muzvidzidzo uye mapurojekiti anoshanda, misimboti ye2D uye 3D mifananidzo, animation, ruzha, uye kuona kudhumhana nerubatsiro rwemafuremu akadai seKubatana uye LÖVE 2D pamwe nemitauro yakaita seLua neC # inoongororwa.
Pakupera kwekosi, unenge waronga akati wandei emitambo yako uye wawana kunzwisisa kwakadzama kwezvakakosha zvekugadzira nekusimudzira mutambo.
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Uyewo Verenga: 15 Yemahara Makosi Pamhepo Nezvitupa muna 2020
CS50: Nhanganyaya kuComputer Science
Iyi iCS50x, Harvard University sumo kune akangwara komputa uye mafemu ekuronga mafemu makuru uye asiri makuru ane kana asina ruzivo rwekutanga chirongwa.
CS50x, kosi yenhanganyaya yakaitwa naDavid J. Malan, inodzidzisa vadzidzi nzira yekufunga nealgorithmically uye kugadzirisa matambudziko nemazvo. Misoro mune aya emahara epamhepo kosi paHarvard University inosanganisira abstraction, zviwanikwa manejimendi, algorithms, data zvimiro, encapsulation, chengetedzo, kuvandudza software, uye webhu kuvandudza.
Mitauro inosanganisira C, PHP, JavaScript, SQL, CSS, uye HTML. Matambudziko akafuridzirwa nenzvimbo dzepasirese dzebiology, forensics, mitambo, cryptography, uye mari,
Muchirimo cha2015, vhezheni yecampus yeCS50x, CS50, yaive kosi huru yeHarvard.
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CS50 yemagweta
Iyi kosi mutsauko paHarvard University's Nhanganyaya kuComputer Science, CS50, yakagadzirirwa magweta (uye vadzidzi vemutemo). Nepo CS50 pachayo inotora nzira yepasi-kumusoro uye ichisimbisa kugona kwemazano epazasi-pamwero uye ruzivo rwavo rwekuita, kosi iyi inotora nzira yepamusoro-pasi inosimbisa kugona kwepamusoro-soro pfungwa, uye zvine chekuita nedhizaini sarudzo.
Pakupedzisira, aya emahara epamhepo makosi paHarvard University achaita dzidzisa vadzidzi kuti vanzwisise zvirinani zvinorehwa nemutemo zvevatengi 'tekinoroji sarudzo.
Kuburikidza nemusanganiswa wedzidziso yehunyanzvi uye nhaurirano dzechidzidzo chenyaya, kosi iyi inoita kuti vadzidzi vagone kuve neruzivo rwevanopa muhurukuro dzinofambiswa nehunyanzvi. Zvakare, vadzidzi vakagadzirira kugadzira tekinoroji-yakavakirwa pamutemo nharo uye maonero.
Vari munzira, vadzidzi vanowana maoko-pane ruzivo nePython uye SQL mitauro yavanogona kushandisa kutora data remhinduro vari voga.
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Uyewo Verenga: 10 Mahara Mapfupi Makosi eVadzidzi veAfrica muna 2020
Nhanganyaya kune digital humanities
Tingashandisa sei masosi aya kubvunza mibvunzo mitsva, sezvo zvinyorwa zvekutanga zveruzivo zvakagadziridzwa uye zviripo online kupfuura kare? Mhuri dzechiChina nenzvimbo dzadzo dzakarongwa sei munguva yakapfuura yeChina?
Varanda vemuAfrica vetsika dzakasiyana vakaumba sei nzanga muAmerica? Ndedzipi pesvedzero dzakapesvedzera kusikwa uye kuvandudzwa kwenziyo dzeBroadway? Ndinganzwisisa sei kana kududzira mabhuku 1000 panguva imwe chete? Ini ndinogadzira sei chiratidzo icho vadzidzi vangu vanogona kutaurirana nacho? Mhinduro kumibvunzo iyi inogona kuongororwa mune aya emahara online makosi paHarvard University kushandisa akasiyana maturusi edhijitari, nzira, uye masosi.
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Hunyanzvi hwemabhuku enyika
Iyi kosi yezvinyorwa inoongorora kuti vanyori vakanyanya kutyora sei nyika yavo uye kuti mabasa avo anoshanduka sei kana vakapindira mune yedu yazvino tsika yepasi rose.
Hapana zvinyorwa zvenyika zvakambozvitsaura kubva kutsika dzakaipoteredza; Mabhuku makuru ekunyora agara achiongorora makakatanwa, kukakavara, uye kubatana pakati petsika dzakavakidzana uye kazhinji pakati penzvimbo dziri kure.
Kosi iyi inonyanya kutarisisa mabasa echinyorwa ane dingindira rezviitiko zvepasi rose. Ichaongorora akasiyana ehunyanzvi modhi vanyori vakuru vanozviwana vari munyika uye kutibatsira kunzwisisa zvakadzika midzi yezvakarukwa zvepasirese tsika. nhasi.
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Rhetoric: Unyanzvi hwekunyengetedza Kunyora uye Veruzhinji Kutaura
Tiri kurarama munguva ine gakava munhoroondo. Kusawirirana kwakakosha panhau dzakakosha dzemitemo kunoita kuti zvive zvakakosha kudzidza kupokana nekuongorora nharo dzevamwe. Kugona uku kuchakubatsira kuti utore chikamu muhurukuro yeruzhinji uye kuunza shanduko inoshanda munharaunda. Kunze kwezvematongerwo enyika, kuendesa meseji inomanikidza kunogona kukubatsira muhupenyu hwako hwese, hweveruzhinji, uye hwehunyanzvi.
Iyi kosi sumo yedzidziso uye tsika yekutaura, hunyanzvi hwekunyengetedza kunyora nekutaura. Iwe unozodzidza kugadzira nekudzivirira nharo dzekunyengetedza, hunyanzvi hwakakosha mumamiriro mazhinji.
Vadzidzisi vachakubatsira kunzwisisa kuti ungashandisa sei kero dzakasarudzwa dzevakakurumbira muzana remakore rechi20 vekuAmerica, kusanganisira John F. Kennedy, Margaret Chase Smith, Martin Luther King Jr., Ronald Reagan, nezvimwewo, kuongorora nekuongorora rhetorical style uye maitiro.
Kuburikidza nekuongorora uku, iwe unozodzidza kuti vatauri nevanyori vanogonesa sei vateereri kutora pfungwa yavo. Iyi ndeimwe yeakanakisa emahara epamhepo makosi paHarvard University.
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Verenga Uyewo: Makwikwi emahara muAustralia kuhwina Mari uye zvemahara zvinhu & mawebhusaiti
AnatomyX: Musculoskeletal Cases
Musculoskeletal AnatomyX inokoka vadzidzi kuti vabatane neKoreji yeMishonga neBasic Science paHarvard Medical School (HMS) kuti vadzidze nezvekukuvara kwetsandanyama kunowanikwa mukiriniki.
Chero zvazvingaitika, vadzidzi vanoshanyira HMS Clinical Skills Center kuti vaone kusangana kwemurwere wekutanga uye kuongororwa kwemuviri nachiremba wemapfupa. Mushure mekusangana nemurwere, vadzidzi vanotevera zvikamu zvinodyidzana zvekudzidza macroscopic yeanatomy, histology, uye radiology, izvo zvakakosha kuti unzwisise nyaya.
Zvidzidzo zveAnatomy zvinosanganisira kucherechedza iwo chaiwo dissections muHarvard Medical School's anatomy labs, pamwe nekutsvaga nekutsanangura hunhu hwemunhu hunoenderana nenyaya yega yega yekiriniki.
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General Psychiatric Management yeBPD
Iyi ndiyo HMS CME yepamhepo kosi ine fakaroti paMcLean Hospital uye ndeimwe yemahara epamhepo kosi paHarvard University akanangana nevarapi nenyanzvi, vanamukoti, vanamukoti, vemishonga, vashandi vezvemagariro evanhu, vabatsiri vekurapa, nyanzvi dzepfungwa.
Iyi kosi zvakare yekufarira kune varapi vanoshanda mu psychiatry, psychology, uye hutano hwepfungwa.
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Ruzivo rweSainzi: Kuzeya
Iyi kosi, inova chikamu chehunyanzvi data sainzi certification chirongwa, inovhara akati wandei akajairwa nhanho mukugadzirisa data, senge kupinza data muR, HTML parsing, kushandisa zuva nenguva, kuronga data, kugadzirisa tambo, uye kudhirowa zvinyorwa.
Ese aya matanho ekuita haawanzo kudikanwa mukuongororwa kumwe chete, asi sainzi wedata angangoabata ese pane imwe nguva.
Muzviitiko zvisingawanzoitiki, iyo data inowanikwa nyore nyore mune data science project. Iyo data inogona kunge iri mufaira, dhatabhesi, kana kutorwa kubva mumagwaro akadai sewebhusaiti, matweets, kana maPDF.
Muzviitiko izvi, danho rekutanga nderekupinza iyo data muR uye shandisa iyo tidyverse package kuirongedza. Matanho anotorwa kushandura dhata kubva pafomu rayo kusvika kune iyo yakarairwa inozivikanwa se data wrangling.
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Sainzi yedata: Linear Regression
Linear regression inowanzoshandiswa kuyera hukama pakati pezviviri kana kupfuura. Inoshandiswawo kugadzirisa kuvhiringidzika. Iyi kosi, chikamu chehunyanzvi data sainzi certification chirongwa, inotsanangura mashandisiro eR kuita mutsara regression uye kubvisa chaiyo-yepasirese kuvhiringidzika.
Mune data sainzi application, zvakajairika kufarira hukama pakati pezviviri kana kupfuura zvinosiyana. Iyo yekukurudzira nyaya yekudzidza yakaongororwa mukosi iyi ine chekuita nedata-inotungamirwa nzira yekuvaka zvikwata zvebaseball yakatsanangurwa muMoneyball.
Tichaedza kushandisa linear regression kuona kuti ndeapi akayerwa mhedzisiro inofanotaura baseball basa. Iyi ndeimwe yeakanakisa emahara epamhepo kosi paHarvard University muData Sayenzi
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Data Sayenzi: Machine Kudzidza
Zvichida nzira dzakakurumbira dzesainzi dze data dzinobva pakudzidza kwemichina. Chii chinoisa kudzidza kwemuchina kubva kune mamwe macomputer ekuita sarudzo kugadzira kugadzira kwekufungidzira algorithms uchishandisa data.
Zvimwe zvezvigadzirwa zvinonyanya kufarirwa zvinoshandisa muchina kudzidza zvinosanganisira manyorero ekuverenga anoitwa nemasevhisi eposvo, kucherechedzwa kwekutaura, masisitimu ekurudziro yemabhaisikopo, uye ma detectors espam.
Muchidzidzo ichi, chinova chikamu chehunyanzvi hwemahara online makosi paHarvard University muri tiye data sainzi certification chirongwa, iwe uchadzidza akajairwa muchina kudzidza algorithms, chikuru chechikamu chekuongorora, uye kugadzirisa nekugadzira bhaisikopo rekurumbidza system.
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Data Sayaneti: R Basics
Iyi kosi ndeyekutanga muYunivhesiti yeHarvard Professional Chitupa muData Science chirongwa uye inokuzivisa iwe kune izvo zvekutanga zveR programming. Nzira yakanakisa yekuchengeta R ndeyekudzidza kugadzirisa rimwe dambudziko zvekuti uri kushandisa rekodhi rematsotsi muUSA.
Iwe unozodzidza iyo R-Unyanzvi, iyo inodiwa kuti upindure yakakosha mibvunzo nezve mutsauko wehutsotsi munyika dzakasiyana.
Iyi kosi ichavhara R mabasa uye mhando dzedata, wozotsanangura mashandisiro evhavha uye nguva yekushandisa epamberi mabasa semirairo. Iwe unozodzidza kushandisa zvakajairika hurongwa hwekuita senge mirairo "kana-zvimwe" uye "ye loop" uye kukurukura, kuongorora uye kuona iyo data.
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Sainzi yedata: Zvinogoneka
iyi ndeimwe yeMahara Online Makosi paHarvard University ane chitupa. In kosi iyi, inova chikamu cheProfessional Certificate yedu muData Science chirongwa, iwe uchadzidza akakosha pfungwa mune zvingangoita dzidziso. Kurudziro yekosi iyi iri mumamiriro edambudziko rezvemari 2007-2008.
Chimwe chikonzero chedambudziko remari iyi inyaya yekuti njodzi yezvimwe zvibatiso zvinotengeswa nemasangano ezvemari yakadzikisirwa. Kuti tinzwisise chiitiko ichi chakaomarara, isu tinofanirwa kunzwisisa izvo zvakakosha zvekuitika, sezvo kosi iyi ichakudzidzisa iwe.
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