Masterclass Certificate in Sampling: Actionable Knowledge
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⢠Fundamentals of Sampling: Understanding the basics of sampling, population, and sample size.
⢠Probability Sampling Techniques: Learning different probability sampling techniques such as simple random sampling, stratified sampling, and cluster sampling.
⢠Non-Probability Sampling Techniques: Exploring non-probability sampling techniques, including convenience sampling, quota sampling, and snowball sampling.
⢠Sampling Design and Plan: Designing and implementing a sampling plan, including selecting the appropriate sampling technique and determining the sample size.
⢠Data Collection Methods: Collecting data using various methods, such as surveys, interviews, and observations.
⢠Data Analysis Techniques: Analyzing data using statistical methods, including descriptive statistics, inferential statistics, and hypothesis testing.
⢠Quality Control in Sampling: Ensuring the quality of the sample and reducing errors through proper sampling techniques and data analysis.
⢠Applications of Sampling in Business and Research: Applying sampling techniques in business and research scenarios, including marketing research, social research, and quality control.
⢠Ethical Considerations in Sampling: Understanding the ethical considerations in sampling, such as informed consent, confidentiality, and non-discrimination.
By covering these essential units, the Masterclass Certificate in Sampling: Actionable Knowledge program will equip learners with a comprehensive understanding of sampling concepts, techniques, and applications in various industries.
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