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Computational Biology Course

Computational Biology Course
from 4 to 360h flexible workload
certificate recognized by MEC

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.

Elevify advantages

Develop skills

  • 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.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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