**I used to teach following courses, click on respective course button for details**

**Biostatistics: Community Medicine**

Introduction to Biostatistics provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.

#### Advanced Applied Statistics

It is applied course in statistics that is designed to provide you with the concepts and methods of statistical analysis for decision making under uncertainties. This course is a combination of lectures and computer-based practice, joining theory firmly with practice. It introduces techniques for summarizing and presenting data, estimation, confidence intervals, hypothesis testing, modeling relationships and some multivariate techniques. The lectures focuses more on understanding of key concepts and statistical thinking, and less on formulas and calculations, which can now be done on statistical software.

#### Categorical Data Analysis

The main ideas of the course are to develop a critical approach to the analysis of categorical data often encountered in health sciences research. This process will include gaining some technical insight (mechanics of the statistical methodology behind the ideas) as well as applications of these methods in health-related data.

#### Survival Analysis

The main ideas of the course are to develop a critical approach to the analysis of survival data often encountered in health and actuarial sciences research. This process will include gaining some technical insight (mechanics of the statistical methodology behind the ideas) as well as applications of these methods in survival time related data. One of the main objective of this course isto gain experience in survival data analysis using statistical software packages (MS Excel,SPSS, STATA and Mathematica etc.)

#### Statistical Inference

This course deals with the proper use of statistical tools for the analysis of management data. The course covers basic and advanced level statistical techniques. The core objective is to enable students to apply suitable statistical techniques using various statistical packages like IBM SPSS Statistics, STATA, SAS, Minitab and JMP

#### Statistics for Managers

Statistics is a field study concerned with gathering, transforming and analyzing data for the purpose of making intelligent statements and drawing appropriate decisions. This course has been designed for Business students so that they can apply their knowledge of Statistics in many practical situations. The purpose of this course is to provide you with a strong background in statistical principles. Our emphasis will be on learning how to be an intelligent “consumer” of statistics, rather than on how to become a statistician.

#### Quantitative Techniques

It is applied course in statistics that is designed to provide you with the concepts and methods of statistical analysis for decision making under uncertainties. This course is a combination of lectures and computer-based practice, joining theory firmly with practice. It introduces techniques for summarizing and presenting data, estimation, confidence intervals, hypothesis testing, modeling relationships and some multivariate techniques. The lectures focuses more on understanding of key concepts and statistical thinking, and less on formulas and calculations, which can now be done on statistical software.