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Computational Biology Course
Open up the power of using computers in biology with our training program, made special for people working in biomedicine. You'll learn how to get data ready, becoming experts at things like making the data consistent and cleaning it up. You'll use machine learning to study how genes are expressed, discover ways to use statistics, and find important biological information. You'll also learn to manage data well and share what you find using pictures and charts that everyone can understand. This training gives you the real-world skills to do well in the changing world of biomedicine, making your job and research better.
- Get good at preparing data: Clean up gene expression data, make it consistent, and change it into a useful form.
- Use machine learning: Apply ways to learn from data that are watched over and ways to group data to help with understanding.
- Do statistics: Carry out analysis to see differences and relationships in the data.
- Look closely at biological data: Find things that are unusual and deal with data that's missing.
- Show and tell: Make clear pictures and charts and share what you've learned.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up the power of using computers in biology with our training program, made special for people working in biomedicine. You'll learn how to get data ready, becoming experts at things like making the data consistent and cleaning it up. You'll use machine learning to study how genes are expressed, discover ways to use statistics, and find important biological information. You'll also learn to manage data well and share what you find using pictures and charts that everyone can understand. This training gives you the real-world skills to do well in the changing world of biomedicine, making your job and research better.
Elevify advantages
Develop skills
- Get good at preparing data: Clean up gene expression data, make it consistent, and change it into a useful form.
- Use machine learning: Apply ways to learn from data that are watched over and ways to group data to help with understanding.
- Do statistics: Carry out analysis to see differences and relationships in the data.
- Look closely at biological data: Find things that are unusual and deal with data that's missing.
- Show and tell: Make clear pictures and charts and share what you've learned.
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.What our students say
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