Certificate in Applied Biostatistics


  • Classify the variables into nominal, ordinal, discrete and continuous.
  • Describe basic concepts of probability, random variation and commonly used statistical probability distributions.
  • Interpret the descriptive statistics, inferential statistics, correlation coefficient and regression from a given data
  • Apply descriptive and inferential methodologies according to the type of study design for answering a particular research question.
  • Perform descriptive and inferential statistics from a given data using statistical software


This course is designed to equip the student with advanced knowledge in the application of descriptive and inferential statistics in public health. The  focus will be on need and uses of statistics in public health and medicine. Specific topics include, concept of the variables, graphical and diagrammatical presentations of various data, measures of central tendency, measures of dispersion, basic probability concepts and distribution, testing of hypothesis for single and two means and proportion, Analysis of variance. This course also emphasizes on the importance of correlation, correlation coefficient and regression (linear, logistic and other non nonlinear) in analysing public health data. The importance of data reduction and application of principal component analysis also included. This course will help students to develop advanced skills in analysing and interpreting data from Health, Allied Health, Public Health settings.

Additional information


3 Months


Certificate of Completion


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