Descriptive Statistics Course
Gain mastery in descriptive statistics using practical business data. Learn to prepare datasets, identify outliers, compare channels, conduct basic t-tests, and convert metrics like means, variance, and frequency tables into clear, actionable insights to support informed decision-making. This course equips you with essential tools for reliable data analysis across Excel, Google Sheets, Python, and R.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Acquire essential descriptive statistics skills to prepare real-world datasets, compute key metrics, and compare channel performance effectively. This focused course covers calculating measures of central tendency and dispersion, identifying and handling outliers, creating informative tables and charts, and applying these techniques in Excel, Google Sheets, Python, and R for dependable business insights.
Elevify advantages
Develop skills
- Channel comparison: evaluate means, variability, and select top-performing channels swiftly.
- Outlier handling: identify, justify, and document exclusions with sound reasoning.
- Data preparation: clean, validate, and standardise order data using Excel, R, or Python.
- Descriptive statistics: calculate and interpret measures of central tendency, dispersion, skewness, and kurtosis.
- Business reporting: transform statistical findings into succinct, compelling insights for management.
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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