Descriptive Statistics Course
This course equips you with practical descriptive statistics skills using actual business datasets. You will learn to prepare data, spot outliers, analyse channel performance, conduct simple t-tests, and transform metrics like means, variance, and frequency distributions into straightforward, actionable recommendations that drive informed business choices. Perfect for analysts aiming to communicate data findings persuasively to stakeholders.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain expertise in essential descriptive statistics methods to prepare real-world datasets, derive key summary measures, and effectively compare performance between channels. This focused course covers calculating 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 and dependable business insights.
Elevify Advantages
Develop Skills
- Compare channels by assessing averages, spreads, and selecting top performers swiftly.
- Identify outliers, provide rationale, and document exclusions transparently.
- Prepare data by cleaning, checking, and normalising sales records in Excel, R, or Python.
- Calculate and explain measures of central tendency, dispersion, skewness, and kurtosis.
- Convert statistical results into clear, compelling 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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