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Statistical Methods Course

Statistical Methods Course
flexible workload of 4 to 360h
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: summarise, visualise, and stratify health data with rigour.
  • Hypothesis testing: compare groups, run correlations, report effect sizes clearly.
  • Regression modelling: 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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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