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Statistician in Scientific Research Course
Get the skills to understand data with our Statistician Training for Scientific Research. You go learn important things like Regression Analysis, where you go know how to read the results and tell when things just happen together and when one thing really cause the other. You go also learn about Side Effects Analysis by looking at people's backgrounds and different groups to understand the data. You go get better at Descriptive Statistics, Hypothesis Testing, and how to look at data to find things out, including how to make sure the data is clean and easy to see. In the end, you go know how to give advice for more research to be done. Make yourself strong in statistics today!
- Know regression analysis well: Read results and tell when things just happen together and when one thing really cause the other.
- Do side effects analysis: Look at people's backgrounds and see the patterns in the data.
- Use descriptive statistics: Use ways to measure the middle and how spread out the data is.
- Do hypothesis testing: Make guesses and understand what the tests tell you.
- Look at data the right way: Clean the data, get it ready, and deal with missing information well.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get the skills to understand data with our Statistician Training for Scientific Research. You go learn important things like Regression Analysis, where you go know how to read the results and tell when things just happen together and when one thing really cause the other. You go also learn about Side Effects Analysis by looking at people's backgrounds and different groups to understand the data. You go get better at Descriptive Statistics, Hypothesis Testing, and how to look at data to find things out, including how to make sure the data is clean and easy to see. In the end, you go know how to give advice for more research to be done. Make yourself strong in statistics today!
Elevify advantages
Develop skills
- Know regression analysis well: Read results and tell when things just happen together and when one thing really cause the other.
- Do side effects analysis: Look at people's backgrounds and see the patterns in the data.
- Use descriptive statistics: Use ways to measure the middle and how spread out the data is.
- Do hypothesis testing: Make guesses and understand what the tests tell you.
- Look at data the right way: Clean the data, get it ready, and deal with missing information well.
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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