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Biometrician Course
Improve your skills in biological sciences with our Biometrician Course, made for professionals who want to be good at data analysis. Learn about data cleaning, filling in missing information, and making sure data is consistent. Become skilled in using R and Python for doing calculations with statistics. Look at data visualisation, exploratory analysis, and biometric methods like ANOVA and regression. Learn how to understand statistical results, find patterns, and share what you've found in a clear way. Join us for a short, high-quality learning experience that will help you in your job.
- Get good at data cleaning: Make sure your data is correct by filling in missing information and making sure it's consistent.
- Use R and Python well: Analyse biometric data using strong programming tools.
- Show data in a good way: Create visuals that have an impact so you can see things clearly.
- Use statistical methods: Use ANOVA and regression for strong data analysis.
- Share what you find: Write full reports and present data clearly.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your skills in biological sciences with our Biometrician Course, made for professionals who want to be good at data analysis. Learn about data cleaning, filling in missing information, and making sure data is consistent. Become skilled in using R and Python for doing calculations with statistics. Look at data visualisation, exploratory analysis, and biometric methods like ANOVA and regression. Learn how to understand statistical results, find patterns, and share what you've found in a clear way. Join us for a short, high-quality learning experience that will help you in your job.
Elevify advantages
Develop skills
- Get good at data cleaning: Make sure your data is correct by filling in missing information and making sure it's consistent.
- Use R and Python well: Analyse biometric data using strong programming tools.
- Show data in a good way: Create visuals that have an impact so you can see things clearly.
- Use statistical methods: Use ANOVA and regression for strong data analysis.
- Share what you find: Write full reports and present data clearly.
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.What our students say
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