Course Description

This course provides an in-depth understanding of estimation techniques and hypothesis testing, with practical applications in health, business, and data science.

Course Structure and Content

Day	Topic
Day 1-3	Estimation: Population and Sample, Confidence Intervals, Estimation for Different Distributions
Day 4-6	Hypothesis Testing: One-Sample Inference, Bayesian Inference
Day 7-8	Two-Sample Inference: Comparing Two Means and Variances, Case Studies
Day 9	Sample Size and Power Estimation, Longitudinal Studies
Day 10	Final Case Studies and Practical Applications

Assessment Strategy

• Practical coding exercises (30%)
• Conceptual quizzes (20%)
• A mini-project on real-world data analysis (50%)

Certification and Career Opportunities

Participants will receive a certificate upon successful completion. The course prepares learners for roles in data analytics, research, and statistical modeling.

Enrolling

For inquiries, please contact: train@globalstatsol.com