Certificate in Nonparametric Statistics & Bootstrapping

Course Overview:

The Certificate in Nonparametric Statistics & Bootstrapping at Sedney Institute of Technical & Vocational Training provides students with essential skills in statistical methods that do not rely on traditional distributional assumptions. This course covers nonparametric techniques, resampling methods, and their applications in real-world data analysis, making it ideal for researchers, data analysts, and professionals working with complex or small datasets.

What You Will Learn:

✔ Introduction to Nonparametric Methods & When to Use Them

✔ Rank-Based Tests (Mann-Whitney U, Kruskal-Wallis, Wilcoxon Signed-Rank)

✔ Chi-Square & Fisher’s Exact Tests for Categorical Data

✔ Kernel Density Estimation & Smoothing Techniques

✔ Permutation Tests & Monte Carlo Methods

✔ Bootstrapping Techniques for Confidence Intervals & Hypothesis Testing

✔ Applications of Nonparametric Methods in Business, Healthcare, and Social Sciences

✔ Implementation Using Statistical Software (R, Python, or SPSS)

Who Should Enroll?

• Data analysts & statisticians working with small or non-normal datasets

• Researchers in healthcare, finance, social sciences, and business analytics

• Academics & students interested in modern statistical techniques

• Professionals seeking advanced skills in data-driven decision-making

  
  

Career Opportunities:

Graduates can work in:

✅ Data Science & Advanced Analytics

✅ Research & Experimental Design

✅ Healthcare & Epidemiological Studies

✅ Market Research & Business Intelligence