Descriptive Statistics Course
Gain mastery in descriptive statistics using practical business data. Learn to clean datasets, identify outliers, compare channels effectively, perform basic t-tests, and convert key metrics such as means, variance, and frequency tables into clear, actionable insights to support data-driven decisions in your organisation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master essential descriptive statistics methods to clean real-world datasets, calculate key summary metrics, and confidently compare performance across different channels. This focused course offers hands-on practice in computing measures of central tendency and variability, spotting and documenting outliers, creating effective tables and charts, and applying these techniques in Excel, Google Sheets, Python, and R for quick, dependable business insights.
Elevify advantages
Develop skills
- Compare channels by evaluating means, variability, and selecting top performers quickly.
- Handle outliers by detecting, justifying, and reporting exclusions logically.
- Prepare data by cleaning, validating, and standardising order data using Excel, R, or Python.
- Compute and interpret descriptive stats like centre, spread, skewness, and kurtosis.
- Report business insights by transforming stats into concise, persuasive summaries for managers.
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 workloadWhat our students say
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