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Descriptive Statistics Course

Descriptive Statistics Course
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.
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 my interest without needing to change 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 switch 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, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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