Sampling

In this micro-course, participants will learn the foundational concepts of sampling and its importance in data collection and analysis. The course covers the different types of sampling methods and the procedures involved in selecting a sample for analysis. Participants will also explore how to develop a sampling plan that ensures data accuracy and reliability, and apply these techniques to real-world scenarios. Through examples and exercises, learners will gain hands-on experience with discrete sampling and develop the skills necessary to create effective sampling strategies for their projects.