Level: Beginner — Author: Writix
Level: Beginner • Duration: 5 hours
Author: Writix
Unlock the full potential of data analysis with our comprehensive 'Sampling in Python' course! This essential program delves into the fundamental principles of inferential statistics and hypothesis testing, equipping you with the skills to apply various sampling techniques, from simple random sampling to advanced stratified and cluster sampling. You will learn how to draw meaningful conclusions without needing to survey entire populations. Engage with real-world datasets, including coffee ratings, Spotify songs, and employee attrition data, to master the estimation of population statistics and assess uncertainty in your findings. Don't miss this opportunity to enhance your data analysis skills—enroll today and elevate your analytical capabilities!
Duration: 5 hours
XP Points: 350
Participants: 0
- Data analysts looking to improve their sampling techniques. - Statisticians interested in applying Python for data analysis. - Students and professionals seeking to understand inferential statistics. - Anyone interested in learning about sampling methods in Python.