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Descriptive Statistics Course

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

What will I learn?

Gain expertise in essential descriptive stats methods to prepare real-world data, calculate vital metrics, and assess 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 in Excel, Google Sheets, Python, and R for quick, trustworthy results.

Elevify advantages

Develop skills

  • Compare channels by assessing averages, spreads, and selecting top performers swiftly.
  • Identify, rationalise, and document outliers with solid reasoning.
  • Prepare data by cleaning, checking, and normalising sales 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 say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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