Descriptive Statistics Course
This course equips you with practical skills in descriptive statistics using business datasets. You will learn to clean and validate data, spot outliers, compare channels, perform simple t-tests, and convert metrics like means, variance, and frequency distributions into straightforward, impactful insights to support informed business choices. With hands-on practice in tools such as Excel, Python, and R, you will confidently handle data analysis tasks from start to finish.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in essential descriptive statistics methods to prepare real-world data, calculate vital metrics, and analyse 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 for quick and accurate results.
Elevify advantages
Develop skills
- Channel analysis: assess averages, dispersion, and select top-performing channels quickly.
- Outlier management: identify, rationalise, and document data exclusions logically.
- Data preparation: tidy, check, and normalise business data using Excel, R, or Python.
- Core statistics: calculate and explain measures of central tendency, spread, skewness, and kurtosis.
- Reporting skills: transform statistical findings into clear, compelling business recommendations.
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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