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Introduction to Resampling Methods – Statistics.Com

0-6 MonthOnline
OnlineBusiness Analytics
Online Self Paced1503
DescriptionProgram StructureEligibilityToolsFacultyContact

The online course, introduces the basic concepts and methods of resampling, including bootstrap procedures and permutation (randomization) tests. The approach of the course is to teach inference: interval estimation, one- , two- and k-sample comparisons, correlation, and regression, from a resampling perspective, without complex theory, mathematics or confusing statistical notation. A companion course, Bootstrap Methods, covers the bootstrap with more theory and in greater detail.

Course Program:

  • Week 1: The Resampling Approach to Inference
  • Week 2: Working with Count Data
  • Week 3: Working with Multivariate Data

Important Date:

July 08, 2016 to July 29, 2016


3 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.


INR 28,140 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Analysts with data or statistics not suitable for standard analysis (small sample sizes, for example, or non-standard statistics), analysts who have had some statistics and want to deepen their knowledge of statistical inference, statisticians unfamiliar with resampling seeking a basic introduction, instructors interested in the easy-to-understand, non-formula-based resampling approach.

  • R
  • Resampling for Stats
  • Robert LaBudde
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