The field of applied statistics involves analyzing and collecting data, calculating functions, estimating and testing hypotheses. The program prepares students for career opportunities in varied domains such as Pharma Insurance, Finance, Automobile, Information Technology and many other sectors that uses market research, forecasting and predictive analysis. Statistical Techniques deal with acquisition, representation, analysis and interpretation of data. Statistics is an emerging field and the demand for statistics professionals is increasing by the day due to its applications potential in several fields such as rural and urban planning, data monitoring, natural resources management, management of industrial and business problems and social and agricultural development.
Introduction to statistics
Visualisation of Statistical Data
Introduction to Sample Survey
Univariate Analysis (Central Tendency, dispersion, Moment, Skewness and Kurtosis)
Bivariate Analysis (Correlation and Regression)
Multivariate Analysis (Multiple Correlation, Regression, Logistic Regression)
Basic Concept of Probability, Probability Dist. And Sampling Dist.
Basics of Statistical Inference
Population and Sample
Testing of Hypothesis
Analysis of Variance
Theory of Attributes and Goodness-of-fit
Hand-on practical examples using MS-Excel/Minitab/R.