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Statistics for Data Science Course

Statistics for Data Science Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This short, practical course builds your ability to clean learning data, summarise key metrics, and visualise distributions for clear comparisons. You will compute robust summaries, correlations, and effect sizes, run appropriate hypothesis tests, and create polished plots in Python or R. Finish ready to deliver concise, reproducible reports, actionable recommendations, and ethical insights for data-driven course decisions.

Elevify advantages

Develop skills

  • Data cleaning for student analytics: fix errors, outliers, and missing data fast.
  • Descriptive stats mastery: compute, compare, and interpret key course metrics.
  • Distribution and correlation analysis: reveal patterns with ECDFs and robust plots.
  • Hypothesis testing for education data: pick the right test and report clear effects.
  • Insight communication: turn stats into concise, ethical, action-ready reports.

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

I was just promoted to Prison System Intelligence Advisor, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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