MISSION 283

Sampling

Learn about sampling and various sampling methods.

Objectives

  • Learn about poulation and samples.
  • Learn various sampling methods.

Mission Outline

1. Introduction
2. Solving Problems with Statistics
3. Populations and Samples
4. Sampling Error
5. Simple Random Sampling
6. The Importance of Sample Size
7. Stratified Sampling
8. Proportional Stratified Sampling
9. Choosing the Right Strata
10. Cluster Sampling
11. Sampling in Data Science Practice
12. Descriptive and Inferential Statistics
13. Next Steps
14. Takeaways

Course Info:

Statistics Fundamentals

Beginner

The average completion time for this course is 10-hours.

This course requires a basic subscription. This course includes three free mission, four paid missions, and one guided project. It is the 15th course in the Data Analyst in Python and Data Scientist in Python path.

START LEARNING FREE

Take a Look Inside

Share On Facebook
Share On Twitter
Share On Linkedin
Share On Reddit