Statistical Methods Course
This course provides hands-on skills in statistical analysis of survey data using R and Python, covering data preparation, exploration, hypothesis testing, regression, and effective communication of findings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical course guides you through importing, cleaning, and preprocessing survey data in R and Python, performing exploratory analyses, and running hypothesis tests and multiple linear regression with proper diagnostics. You will learn to handle missing values, outliers, and model assumptions, then clearly communicate results, limitations, and real-world implications to non-technical audiences with reproducible, high-quality reports.
Elevify advantages
Develop skills
- Data cleaning for surveys: fast import, validate, recode in R and Python.
- Exploratory stats: summarize, visualize, and stratify health data with rigor.
- Hypothesis testing: compare groups, run correlations, report effect sizes clearly.
- Regression modeling: build, diagnose, and interpret multiple linear regression.
- Results communication: craft clear, ethical, reproducible reports for stakeholders.
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 are saying
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