Uri kutsvaga akanakisa emahara epamhepo Makosi makosi ane Zvitupa? Kana ukadaro, saka chinyorwa ichi paWSH chakagadzirwa kuti chikubatsire iwe nazvo.
Kutora kosi yepamhepo yepamhepo kosi inogona kunge iri rwendo rwakanaka kwauri uine migove yakawanda uye mabhenefiti. Izvi zvinodaro nekuti nyika iri kufambira mberi zvakanyanya muchikamu cheIT zuva rega rega rinopfuura uye kutora kosi yekombuta kunogona kukuisa pamberi petsoka. Izvi zvinoreva zvakare kuti kune yakawanda yakanaka mikana kunze uko kwauri.
Makosi emahara epamhepo epamhepo ane chitupa haangobatsire iwe kuwana ruzivo. Vanokupawo humbowo (chitupa) chekuti une hunyanzvi hwakadaro, uye kuti uri munhu anoda kuvandudza nekuzviita nani.
izvi zvitupa zvipfupi kana kureba zvitupa zvinogona kuwedzerwa kune yako tanga uye zvinogona kuumba chikamu chezvawakaita. Chero chinangwa chaunoshuvira kuti vashumire, iwe chokwadi uri kutora nhanho inobatsira kuzadzisa zvinangwa zvako.
Chinyorwa ichi chakanyorwa kuti iwe uwane mhinduro dzemibvunzo yako. Mafaro edu kuWorld Scholars Hub kukubatsira nerondedzero iyi yakanyatsosarudzwa pazasi. Ngatizviongororei.
Zviri Mukati
Rondedzero yeMahara Pamhepo Makosi Makosi ane Sitifiketi yekupedza
Pazasi pane rondedzero yemahara epamhepo makosi makosi ane chitupa chekupedza:
- CS50's Sumo kuComputer Science
- Iyo Yakazara iOS 10 Developer - Gadzira Chaicho Zvirongwa mu Swift 3
- Google IT Automation ine Python Professional Chitupa
- IBM Data Science Professional Chitupa
- Machine Learning
- Python yeWese Munhu Nyanzvi
- C # Zvinokosha kune Absolute Vanotanga
- Yakazara-Stack Web Development neReact Specialization
- Nhanganyaya kune computer science uye programming.
Yemahara Pamhepo Makosi Makosi ane Chitupa
Taiziva kuti uri kutsvaga anoshamisa emahara epamhepo makosi emakombuta ane chitupa, saka takafunga kuti tinogona kukubatsira nazvo. Heino runyorwa rwe9 anoshamisa emahara makosi ane chekuita nekombuta ane zvitupa zvaungade kutarisa.
1. CS50's Sumo kuComputer Science
CS50's Nhanganyaya kuComputer Science kosi iri pakati pemahara epamhepo makosi makosi ane chitupa chinopihwa neHarvard University.
Inovhara sumo kumabhizinesi ehungwaru esainzi yekombuta uye hunyanzvi hwekuronga kwevakuru nevasiri-vakuru zvakafanana.
Iyi kosi yevhiki gumi nembiri inomhanya wega uye yakasununguka zvachose ine sarudzo yekusimudzira. Vadzidzi vanowana zvibodzwa zvinogutsa pa12 programming migove uye purojekiti yekupedzisira vanokodzera kuwana chitupa.
Iwe unogona kuita iyi kosi kunyangwe usina pre-programming ruzivo kana ruzivo. Iyi kosi inoshongedza vadzidzi neruzivo rwakakodzera kuti vafunge algorithmically uye kugadzirisa matambudziko nemazvo.
Zvauchadzidza:
- Abstraction
- Algorithms
- Zvimiro zveData
- encapsulation
- Resource manejimendi
- chibatiso
- Software engineering
- Web budiriro
- Kuronga Mitauro se: C, Python, SQL, uye JavaScript pamwe neCSS neHTML.
- Dambudziko rinoseta rakafemerwa nechaiyo-nyika madomasi ebiology, cryptography, mari
- Forensics, uye kutamba
Platform: edx
2. Iyo Yakazara iOS 10 Developer - Gadzira Chaicho Zvirongwa mu Swift 3
Iyo Yakakwana iOS 10 Developer kosi, inoti inokwanisa kukushandura iwe kuva akanakisa kuvandudza, freelancer uye muzvinabhizimusi waungave.
Kune iyi yemahara yepamhepo komputa kosi ine chitupa, iwe unozoda Mac inomhanya iyo OS X kugadzira iOS maapplication. Kunze kwehunyanzvi hwekuvandudza kosi iyi inovimbisa kudzidzisa, inosanganisirawo chikamu chakazara chekuti unogadzira sei kutanga.
Zvauchadzidza:
- Kugadzira mapurogiramu anobatsira
- Kugadzira mamepu eGPS
- Kugadzira ticking wachi maapplication
- Mapurogiramu ekunyora
- Calculator apps
- Converter apps
- RESTful uye JSON apps
- Firebase apps
- Instagram clones
- Fancy animations kune vashandisi veWOW
- Kugadzira mapurogiramu anomanikidza
- Maitiro ekutanga ako ekutanga kubva pane zano kuenda kune mari kutengesa
- Maitiro ekugadzira nyanzvi inotarisa iOS maapplication
- Unyanzvi hwakasimba hwakaiswa muSwift programming
- Rudzi rwemaapplication akaburitswa muchitoro cheapp
Platform: Udemy
3. Google IT Automation ine Python Professional Chitupa
Iyi rondedzero yemahara epamhepo makosi emakomputa ane chitupa anoratidza wekutanga-chikamu, matanhatu-kosi chitupa, chakagadziridzwa neGoogle. Iyi kosi yakagadzirirwa kupa vashandi veIT ne-mukuda hunyanzvi hwakadai se: Python, Git, uye IT otomatiki.
Chirongwa ichi chinovaka pahwaro hwako hweIT kuti ikudzidzise kuronga nePython uye mashandisiro ePython kuita otomatiki zvakajairika system management mabasa. Mukati mekosi, iwe uchadzidziswa nzira yekushandisa Git neGitHub, kugadzirisa uye kugadzirisa matambudziko akaomarara.
Mukati memwedzi misere yekudzidza, iwe unozodzidza zvakare maitiro ekushandisa otomatiki pachikero nekushandisa kumisikidza manejimendi uye Cloud.
Zvauchadzidza:
- Maitiro ekuita otomatiki mabasa nekunyora Python zvinyorwa.
- Maitiro ekushandisa Git uye GitHub yekutonga shanduro.
- Maitiro ekugadzirisa zviwanikwa zveIT pachiyero, zvese zvemichina yemuviri uye chaiwo michina iri mugore.
- Maitiro ekuongorora chaiwo-nyika IT matambudziko uye kushandisa nzira dzakakodzera kugadzirisa iwo matambudziko.
- Google IT Automation ine Python Professional Certificate.
- Maitiro ekushandisa shanduro control
- Troubleshooting & Debugging
- Maitiro ekuronga nePython
- Kugadziridza Management
- kushandisa michina
- Basic Python Data Structures
- Yakakosha Programming Concepts
- Basic Python Syntax
- Chinangwa-Chakatemerwa Chirongwa (OOP)
- Maitiro ekumisikidza yako budiriro nharaunda
- Nguva dzose kutaura (REGEX)
- Kuedza muPython
Platform: Coursera
4. IBM Data Science Professional Chitupa
Iyi Professional Certificate kubva kuIBM ine chinangwa chekubatsira vanhu vanofarira basa resainzi yedata kana kudzidza muchina kukudziridza hunyanzvi hunoenderana nebasa uye ruzivo.
Iyi kosi haidi chero ruzivo rwekutanga rwesainzi yekombuta kana mitauro yekuronga. Kubva pane iyi kosi, iwe uno gadzira hunyanzvi, maturusi, uye portfolio yauchazoda seyekupinda level data sainzi.
Ichi chirongwa chetifiketi chinosanganisira 9 makosi epamhepo anovhara maturusi uye hunyanzvi, zvinosanganisira akavhurika sosi maturusi nemaraibhurari, Python, dhatabhesi, SQL, kuona data, kuongororwa kwedata, ongororo yenhamba, kufungidzira modhi, uye muchina kudzidza algorithms.
Iwe zvakare unozodzidza sainzi yedata kuburikidza nekudzidzira muIBM Cloud uchishandisa chaiyo data sainzi maturusi uye chaiyo-yepasi data seti.
Zvauchadzidza:
- Chii chinonzi data science.
- Izvo zvakasiyana-siyana zvebasa resaenzi wedata
- Methodology inoshanda se data sainzi
- Maitiro ekushandisa maturusi enyanzvi dzesainzi data, mitauro, uye maraibhurari.
- Maitiro ekupinza uye kuchenesa data seti.
- Maitiro ekuongorora uye kuona data.
- Maitiro ekuvaka uye kuongorora muchina kudzidza modhi uye mapaipi uchishandisa Python.
- Maitiro ekushandisa akasiyana data sainzi hunyanzvi, matekiniki, uye maturusi kupedzisa chirongwa uye kuburitsa chirevo.
Platform: Coursera
5. Machine Learning
Iyi kosi yekudzidza yemuchina naStanford inopa sumo yakafara yekudzidza kwemichina. Inodzidzisa kuchera data, kucherechedzwa kwemaitiro ehuwandu, uye rondedzero yezvimwe zvine chekuita nenyaya.
Kosi yacho inosanganisirawo akati wandei zvidzidzo uye mashandisiro. Izvi zvinokutendera kuti udzidze mashandisiro ekudzidza maalgorithms ekuvaka akangwara marobhoti, kunzwisisa zvinyorwa, kuona komputa, ruzivo rwekurapa, odhiyo, mugodhi wedhatabhesi, uye dzimwe nzvimbo.
Zvauchadzidza:
- Inotarisirwa kudzidza
- Kudzidza kusingatarisirwe
- Maitiro akanakisa mukudzidza muchina.
- Nhanganyaya yekudzidza muchina
- Linear Regression ine One Variable
- Linear Regression ine Multiple Variables
- Algebra Ongororo
- Octave/Matlab
- Kudzvinyirira Kunogadzirisa
- Kugadziriswa
- Neural Networks
Platform: Coursera
6. Python yeWese Munhu Nyanzvi
Python yemunhu wese kosi yehunyanzvi iyo inokuzivisa iwe kune yakakosha programming concepts. Iwe unozodzidza nezve data zvimiro, networked application program interfaces, uye dhatabhesi, uchishandisa iyo Python programming mutauro.
Inosanganisirawo Capstone Projects, kwauchazoshandisa matekinoroji akadzidzwa mukati meSpecialization kugadzira nekugadzira yako maapplication ekudzosa data, kugadzirisa, uye kuona. Iyo kosi inopihwa neYunivhesiti yeMichigan.
Zvauchadzidza:
- Isa Python uye nyora yako yekutanga chirongwa.
- Rondedzera izvo zvekutanga zvePython programming mutauro.
- Shandisa zvinoshanduka kuchengeta, kutora uye kuverenga ruzivo.
- Shandisa misimboti yekuronga maturusi akadai semabasa uye zvishwe.
chikwiriro: Coursera
7. C # Zvinokosha kune Absolute Vanotanga
Iyi kosi inoita kuti iwe uwane maturusi aunoda kunyora kodhi, debug maficha, kuongorora magadzirirwo, nezvimwe. Inopihwa neMicrosoft.
Zvauchadzidza:
- Kuisa Visual Studio
- Kunzwisisa C # chirongwa
- Kunzwisisa marudzi e data
Uye zvimwe zvakawanda.
chikwiriro :Microsoft.
8. Yakazara-Stack Web Development neReact Specialization
Iyo kosi inovhara kumberi-kumagumo masisitimu seBootstrap 4 uye React. Zvinotorawo kunyura padivi reseva, kwaunodzidza maitiro ekushandisa NoSQL dhatabhesi uchishandisa MongoDB. Iwe zvakare uchashanda mukati meNode.js nharaunda uye Express chimiro.
Iwe unozotaurirana kudivi remutengi kuburikidza neRESTful API. Nekudaro, vadzidzi vanotarisirwa kuve nekutanga kushanda ruzivo rweHTML, CSS uye JavaScript. Iyi kosi inopihwa neHong Kong University yeScience uye Technology.
Platform: Coursera
9. Nhanganyaya kune computer science uye programming.
Nhanganyaya kuComputer Science uye Programming muPython inoitirwa vadzidzi vane zvishoma kana vasina ruzivo rwekuronga. Inobatsira vadzidzi kuti vanzwisise basa recomputing mukugadzirisa matambudziko.
Chine chinangwa chekubatsira vadzidzi kuti vanzwe vaine chivimbo chine musoro chekugona kwavo kunyora zvirongwa zvidiki zvinovatendera kuzadzisa zvinangwa zvinobatsira. Kirasi inoshandisa mutauro wePython 3.5 wekuronga.
Zvauchadzidza:
- Chii chinonzi computation
- Branching uye Iterations
- String Manipulation, Fungidzira uye Tarisa, Kufungidzira, Bisection
- Kuora, Abstractions, Mabasa
- Tuples, Lists, Aliasing, Mutability, Cloning.
- Recursion, Dictionaries
- Kuedza, Kugadzirisa, Kunze, Zvisimbiso
- Object Oriented Programming
- Python Makirasi uye Nhaka
- Kunzwisisa Kubudirira Kwepurogiramu
- Kunzwisisa Kubudirira Kwepurogiramu
- Kutsvaga uye Kuronga
chikwiriro : MIT Vhura kosi ware
Kwaunowana Mahara online Makosi makosi ane Chitupa
Pazasi isu takanyora mamwe mapuratifomu kwaunogona kuwana aya emahara epamhepo komputa makosi ane chitupa. Inzwa wakasununguka kutarisa mazviri.
1) Coursera
Coursera Inc. iAmerican yakakura yakavhurika pamhepo kosi inopa ine pre-yakarekodhwa vhidhiyo makosi. Coursera inoshanda nemayunivhesiti nemamwe masangano kupa online makosi, zvitupa, uye madhigirii muzvidzidzo zvakasiyana.
2) Udemy
Udemy ipuratifomu yepamhepo / musika wekudzidza nekudzidzisa nemakosi mazhinji uye vadzidzi. NeUdemy, unogona kukudziridza hunyanzvi hutsva nekudzidza kubva kuraibhurari yayo huru yemakosi.
3) Edx
EdX iAmerican yakakura yakavhurika pamhepo kosi inopa yakagadzirwa naHarvard neMIT. Iyo inobata akasiyana epamhepo makosi mune dzakasiyana siyana dzidziso kune vanhu pasi rese. Mamwe emakosi ayo seyatanyora pamusoro apa ndeyemahara. Inoitawo tsvakiridzo mukudzidza zvichibva pamashandisiro anoita vanhu chikuva chayo.
4) LinkedIn Kudzidza
LinkedIn Kudzidza ihombe yakavhurika online kosi inopa. Inopa runyorwa rurefu rwevhidhiyo makosi anodzidziswa neindasitiri nyanzvi mune software, kugadzira, uye bhizinesi hunyanzvi. LinkedIn yemahara certification makosi anokupa iwe mukana wekudzidza kubva kune maindasitiri nyanzvi pasina kushandisa dime.
5) Udacity
Udacity, isangano rinodzidzisa iro rinopa makuru akavhurika epamhepo makosi. Yemahara online certification makosi anowanikwa muUdacity anodzidziswa nenyanzvi varairidzi. Uchishandisa Udacity, Vadzidzi vanogona kuwana hunyanzvi hutsva kuburikidza neraibhurari yakakura yemakosi emhando yavanopa.
6) Kumba uye Dzidza
Imba uye Dzidza inopa emahara makosi emakombuta uye tutorials. Ese makosi akagadzirwa kuti aenderane nezvinodiwa zvevakatanga zvakakwana, saka haudi ruzivo kuti utange.
Mamwe maPlatform anosanganisira:
ii. Alison.
Mibvunzo Inowanzo Kubvunzwa Nezve Yemahara Pamhepo Makosi Makosi NeSitifiketi
Ini ndinowana Chitupa chinodhindwa here?
Ehe, iwe uchapihwa chitupa chinodhinda kana wapedza kosi uye wazadzisa zvese zvinodiwa. Izvi zvitupa zvinogovewa uye zvinogona zvakare kushandiswa sehumbowo hweruzivo rwako mune imwe nzvimbo ine chekuita nekombuta. Mune zvimwe zviitiko zvakare, yako institution inokutumira iwe yakaoma kopi yechitupa chekupedzisa.
Ndeapi Mahara Pamhepo Makosi Makosi andinofanira kutora?
Iwe wakasununguka kusarudza chero emahara epamhepo makosi makosi ane chitupa chaunoona chakakodzera. Chero bedzi ivo vachitaurirana newe, uye vachizadzisa zvaunoda uye zvaunofarira, zvipe pfuti. Asi, ita zvakanaka kuve nechokwadi kuti zviri pamutemo.
Ini ndinowana sei MAHARA Online Makosi ane Chitupa?
Tevera matanho ari pasi apa:
- Shanyira chero online e-learning mapuratifomu senge coursera, edX, khan kuburikidza nebrowser yako.
- Nyora makosi ako aunofarira (data science, programming etc.) pakutsvaga kana kusefa bar pachikuva. Unogona kutsvaga pane chero chidzidzo chaunoda kudzidza.
- Kubva pane zvauchawana, sarudza chero makosi emahara ane chitupa iyo yaunoda uye vhura iyo kosi peji.
- Dzvanya mukosi uye tarisa nezve kosi. Tarisa zvakare kuburikidza nezvimiro zvekosi uye misoro yayo. Simbisa kana kosi yacho iri chaizvo zvaunoda, uye kana vakapa chitupa chemahara chekosi yauri kufarira.
- Paunenge wasimbisa izvozvo, nyoresa kana kunyoresa yemahara online kosi zvamakasarudza. Dzimwe nguva, unokumbirwa kusaina. Ita saizvozvo uye upedze kunyoresa maitiro.
- Mushure mekunge waita izvozvo, tanga kosi yako, pedza zvese zvinodiwa uye mabasa. Kana wapedza, unogona kutarisirwa kutora bvunzo kana bvunzo izvo zvinokukodzera iwe kuwana chitupa. Ace ivo, uye totenda isu gare gare;).
Tinokurudzirawo
20 Online IT Makosi Emahara ane Zvitupa
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