Income Tax is 5 credit course. The subject deals with the structure of Income Tax Act in India, basic concepts Income Tax, Provisions relating to computation of total income and tax liability of an individual. Computation of taxable income under 5 heads of income namely Salaries, house property, Business or Profession, Capital gains and Other sources are also covered in the Syllabus.
- Teacher: JAYA LAXMI D
This course is designed to provide you fundamental techniques used for predictive analytics: regression, classification, clustering, optimization, and simulation. Beginning with basic models for revealing and establishing relationships and apply increasingly sophisticated modeling techniques for practical data analysis, as well as commonly encountered problems that can determine the fit and usefulness for prediction of models, and apply them to typical business problems. To perform basic forecasting using time-based data to predict future values from a model and also to calculate scenarios based on distance and space.
- Teacher: NAGENDRA KUMAR GOLLAPUDI
This course, a
continuation of Business Statistics-I, focuses on advanced statistical methods
for data analysis and interpretation, with applications in fields like industry
and commerce. It covers regression analysis for prediction, construction and
use of index numbers, and time series analysis to identify patterns and trends.
The course also explores foundational concepts of probability, including
events, theorems, and approaches, as well as theoretical distributions like
binomial, Poisson, and normal distributions, emphasizing their importance,
conditions, and practical fitting techniques. These tools equip students with
the skills to analyze data effectively and make informed decisions in
real-world scenarios.
- Teacher: ALIGETI SANDHYA RANI