Descriptive Statistics Course
Master descriptive statistics with real business data. Learn to clean datasets, detect outliers, compare channels, run basic t-tests, and turn means, variance, and frequency tables into clear, actionable insights for data-driven decisions.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master core descriptive techniques to clean real-world datasets, summarize key metrics, and compare performance across channels with confidence. In this concise course, you will practice computing central tendency and variability, detecting and reporting outliers, building clear tables and visualizations, and implementing every step in Excel, Google Sheets, Python, and R for fast, reliable insights.
Elevify advantages
Develop skills
- Channel comparison: evaluate means, variability, and pick winning channels fast.
- Outlier handling: detect, justify, and report exclusions with clear logic.
- Data prep: clean, validate, and standardize order data in Excel, R, or Python.
- Descriptive stats: compute and interpret center, spread, skewness, and kurtosis.
- Business reporting: turn stats into concise, persuasive insights 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 workload.What our students say
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