Descriptive Statistics Course
This course equips you with practical descriptive statistics skills using business datasets. You'll learn to clean and validate data, spot outliers, compare channels with summary stats and basic t-tests, and transform metrics like means, variances, and frequency distributions into compelling, decision-ready reports for stakeholders.

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 key summary measures, and assess performance differences across 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 for quick, dependable analysis.
Elevify advantages
Develop skills
- Compare channels by evaluating averages, spreads, and selecting top performers quickly.
- Identify, rationalize, and document outliers using transparent methods.
- Prepare data by cleaning, checking, and normalizing records in Excel, R, or Python.
- Calculate and explain measures of central tendency, variability, skewness, and kurtosis.
- Convert statistical findings into clear, impactful reports for business leaders.
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 say
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