Descriptive Statistics Course
Dive into 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 compelling, decision-ready insights that drive business success.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in essential descriptive stats methods to prepare real-world data, calculate vital metrics, and assess channel performance effectively. This focused course covers computing measures of central tendency and dispersion, identifying and documenting outliers, creating informative tables and charts, and applying these techniques in Excel, Google Sheets, Python, and R for quick, trustworthy results.
Elevify advantages
Develop skills
- Compare channels by assessing averages, spreads, and selecting top performers swiftly.
- Identify, rationalise, and document outliers with solid reasoning.
- Prepare data by cleaning, checking, and normalising sales 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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