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Biomedical Statistics Course
Improve your knowledge with our Biomedical Statistics Training, made for people working in biomedicine who want to be good at data analysis. You will learn how to explore data, deal with data that is missing, and fix data that doesn't match. You will also learn how to test ideas, including paired T-tests, and understand what the results mean. You will get better at writing reports, using descriptive statistics, and doing regression analysis. You will understand the difference between things being related and one thing causing another, and you will be able to make good decisions and give advice. Join now to make your statistics skills strong.
- Understand data structures well: Learn how complex data is organized so you can analyze it properly.
- Do hypothesis tests: Perform statistical tests correctly and understand what they mean.
- Write good reports: Create statistical reports and presentations that are clear and have a big impact.
- Analyze relationships: Know the difference between when things are related and when one thing causes another in the data.
- Do regression analysis: Use linear regression methods to see how things are related.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your knowledge with our Biomedical Statistics Training, made for people working in biomedicine who want to be good at data analysis. You will learn how to explore data, deal with data that is missing, and fix data that doesn't match. You will also learn how to test ideas, including paired T-tests, and understand what the results mean. You will get better at writing reports, using descriptive statistics, and doing regression analysis. You will understand the difference between things being related and one thing causing another, and you will be able to make good decisions and give advice. Join now to make your statistics skills strong.
Elevify advantages
Develop skills
- Understand data structures well: Learn how complex data is organized so you can analyze it properly.
- Do hypothesis tests: Perform statistical tests correctly and understand what they mean.
- Write good reports: Create statistical reports and presentations that are clear and have a big impact.
- Analyze relationships: Know the difference between when things are related and when one thing causes another in the data.
- Do regression analysis: Use linear regression methods to see how things are related.
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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