Basic course of 4 hours free
Completion certificate
AI tutor
Practical activities
Online and lifelong course
What will I learn?
Vhura kugona kwe computational biology nekosi yedu yakazara yakagadzirirwa nyanzvi dzeBiomedicine. Tsvaga kugadzirira data, kugona matekiniki akaita se normalization nekuchenesa. Shandisa mashini kudzidza pakuongorora matauriro e gene, ongorora nzira dzekuverenga, uye uzive nzwisiso yezvehupenyu. Dzidza kubata data zvinobudirira nekutaura zvawakawana nemifananidzo ine simba. Iyi kosi inokupa hunyanzvi hunoshanda hwekukunda munzvimbo iri kuramba ichichinja ye biomedicine, ichivandudza basa rako nekugona kwekutsvagisa.
Live mentoring sessions weekly
Rely on our team of specialists for weekly consultations
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Access open rooms with a variety of market professionals
Expand your network
Exchange experiences with specialists from different fields and address your professional challenges.
Learning outcomes
Strengthen the development of the practical skills listed below
Govera kugadzirira data: Chenesa, gadzirisa, uye shandura data rekutaura gene.
Shandisa kudzidza kwemashini: Shandisa matekiniki anotungamirirwa ne clustering pakuongorora.
Ita ongororo yezviverengero: Ita differential uye correlation analysis.
Ongorora data yezvehupenyu: Ziva zvisizvo uye ubate kukosha kusipo zvinobudirira.
Ratidza uye utaure: Gadzira mifananidzo yakajeka uye utaure zvawakawana.