Statistical Inference

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How you should study for this module?

  • View all video lessons and corresponding slide sets
  • Practice with the code samples from the lessons
  • Complete all topics assignments. (Mandatory) 
  • Undertake the case study
  • Study the exam practice questions before the exam
Module overview
In the statistical inference unit you will gain an in-depth understanding of statistical distribution and hypothesis testing. This includes Binomial, Poisson, Normal, Log Normal, Exponential, t, F and Chi Square distributions, as well as parametric and non-parametric tests used in research problems. The unit will help you to formulate research hypotheses, select appropriate tests for them, write R and Python programs to perform hypothesis testing and draw inferences using the outputs generated.
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assessment requirments
In order to complete this module successfully you will need to 
  1. Attend the scheduled live classes (or view the recorded session)
  2. Watch all learning content on the platform
  3. Complete all topic assignments
  4. Submit case study answers
  5. Pass the module exam with a minimum grade of 50%

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Course Lessons

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