Understand the results of a website's A/B test and provide statistical and practical interpretations.
-
Updated
Feb 11, 2024 - HTML
Understand the results of a website's A/B test and provide statistical and practical interpretations.
This repository provides my second project in Data-Analysis-Advanced Track sponsored by egFWD “Future Work is Digital” initiative - powered by ITIDA!
Data Analyst Nanodegree is a six months program on Udacity platform. The Nanodegree is a project-based program with eight projects that cover all Python and its data analysis libraries (Numpy, pandas, Matplotlib), SQL, R, Practical Statistics (Linear, Multiple Linear, Logistic Regression...etc ), Wrangling and Analyzing Data and Tableau.
A complete record of my learning journey through the book "Practical Statistics for Data Scientists", including code examples, quiz answers, and key concepts—organized by chapter to build a solid foundation in practical statistics for real-world data science.
Add a description, image, and links to the practical-statistics topic page so that developers can more easily learn about it.
To associate your repository with the practical-statistics topic, visit your repo's landing page and select "manage topics."