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Descriptive Statistics Course

Descriptive Statistics Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Gain expertise in essential descriptive statistics methods to prepare real-world data, calculate key summary measures, and assess performance differences across channels effectively. This focused course covers computing measures of central tendency and dispersion, identifying and documenting outliers, creating effective tables and charts, and applying these techniques using Excel, Google Sheets, Python, and R for quick, dependable analysis.

Elevify advantages

Develop skills

  • Compare channels by evaluating averages, spreads, and selecting top performers quickly.
  • Identify, rationalize, and document outliers using transparent methods.
  • Prepare data by cleaning, checking, and normalizing records in Excel, R, or Python.
  • Calculate and explain measures of central tendency, variability, skewness, and kurtosis.
  • Convert statistical findings into clear, impactful 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.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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