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Statistics in Psychology Course
Unlock the power of data in psychology with our Statistics in Psychology Course, specifically designed for mental health practitioners. Delve into correlation and regression analysis, become proficient in using statistical software such as SPSS, Python, and R, and improve your abilities in data collection and management. Learn how to understand statistical findings and use them in therapy approaches, while making sure data is handled ethically. With clear and valuable content, this course helps you make decisions based on data in your practice. Sign up now to boost your skills.
- Become skilled in correlation analysis to understand psychological insights.
- Use SPSS, Python, and R for analysing data.
- Understand statistical results for use in therapy strategies.
- Carry out and analyse regression for research.
- Show data effectively using charts and graphs.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data in psychology with our Statistics in Psychology Course, specifically designed for mental health practitioners. Delve into correlation and regression analysis, become proficient in using statistical software such as SPSS, Python, and R, and improve your abilities in data collection and management. Learn how to understand statistical findings and use them in therapy approaches, while making sure data is handled ethically. With clear and valuable content, this course helps you make decisions based on data in your practice. Sign up now to boost your skills.
Elevify advantages
Develop skills
- Become skilled in correlation analysis to understand psychological insights.
- Use SPSS, Python, and R for analysing data.
- Understand statistical results for use in therapy strategies.
- Carry out and analyse regression for research.
- Show data effectively using charts and graphs.
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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