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, impactful insights that support smart business choices. Explore these concepts hands-on across multiple tools for versatile application in real scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in essential descriptive statistics methods to prepare real-world data, calculate vital measures, 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 using Excel, Google Sheets, Python, and R to deliver quick, trustworthy results.
Elevify advantages
Develop skills
- Channel analysis: assess averages, spreads, and select top channels efficiently.
- Outlier management: identify, rationalise, and document data exclusions clearly.
- Data preparation: tidy, check, and normalise business data in Excel, R, or Python.
- Core statistics: calculate and explain central tendency, variability, skewness, kurtosis.
- Reporting skills: convert statistical findings into clear, compelling business summaries.
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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