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Computational Biology Course

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

What will I learn?

Unlock di power of computational biology wit dis full course wey tailor-made for biomedicine people dem. Enter inside di world of data preprocessing, and master how to clean and fix data. Use machine learning for check gene expression, sabi statistical methods, and find important things inside di biology world. Learn how to manage data well and talk about wetin you find wit clear pictures. Dis course go give you di skills wey you need to do well for biomedicine, wey di ting dey change everyday. E go make your work and research beta.

Elevify advantages

Develop skills

  • Master data preprocessing: Clean, fix, and change gene expression data make e correct.
  • Apply machine learning: Use supervised and clustering method dem for check di data.
  • Conduct statistical analysis: Do differential and correlation analysis.
  • Explore biological data: Find wetin no correct and manage empty spaces inside di data well-well.
  • Visualize and report: Draw clear pictures and talk about wetin you find.

Suggested summary

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

What our students say

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The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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