Descriptive Statistics Course
Build strong skills in descriptive statistics using practical business datasets. Master data cleaning, outlier detection, channel comparisons, simple t-tests, and transforming metrics like means, variance, and frequency distributions into straightforward, actionable recommendations to support informed business choices. Explore central tendency, variability, skewness, kurtosis, and visualisation tools across multiple platforms for reliable analysis.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain expertise in essential descriptive statistics methods to prepare real-world data, calculate vital measures, and assess performance between channels effectively. This focused course covers computing measures of central tendency and dispersion, identifying and documenting outliers, creating effective tables and charts, and applying these techniques using Excel, Google Sheets, Python, and R to deliver quick, trustworthy results.
Elevify advantages
Develop skills
- Channel analysis: assess averages, variation, and select top channels quickly.
- Outlier management: identify, explain, and document data exclusions logically.
- Data preparation: tidy, check, and normalise business data in Excel, R, or Python.
- Core statistics: calculate and explain measures of centre, spread, skewness, and kurtosis.
- Reporting skills: convert statistical findings into clear, compelling business insights.
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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