Global Certificate Survey Sampling for a Data-Driven World
-- viewing nowThe Global Certificate Survey Sampling for a Data-Driven World course is a comprehensive program designed to empower learners with the essential skills needed to thrive in today's data-driven world. This course focuses on the importance of survey sampling, a critical technique in data collection and analysis.
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Course Details
• Survey Sampling Basics: Defining populations, sampling frames, and survey samples. Understanding probability and non-probability sampling methods.
• Probability Sampling: Simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
• Non-Probability Sampling: Convenience sampling, quota sampling, snowball sampling, and purposive sampling.
• Sample Size Determination: Factors affecting sample size, power analysis, and margin of error.
• Data Collection Methods: Online surveys, paper surveys, telephone surveys, and in-person interviews.
• Quality Control in Survey Sampling: Strategies to minimize errors and biases, questionnaire design, and pretesting.
• Data Analysis for Survey Sampling: Descriptive statistics, inferential statistics, and statistical testing.
• Weighting and Adjustment: Post-stratification, raking, and propensity score adjustment.
• Ethical Considerations: Confidentiality, anonymity, informed consent, and data protection.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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