Course Summary
Income Tax is 5 credit course. Provisions relating to computation of total income and tax liability of an individual are covered and computation of taxable income under 5 heads of income namely Salaries, house property, Business or Profession, Capital gains and Other sources are covered in the Syllabus.
- Teacher: RUPINI B
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
This course provides a comprehensive introduction to key concepts and tools in social media marketing, search engine optimization (SEO), and pay-per-click (PPC) advertising. Students will learn how to build and manage online communities, create brand presence on major platforms such as Facebook, Twitter, LinkedIn, and YouTube, and apply best practices in social media advertising. It covers essential SEO strategies including keyword planning, content optimization, link-building, and performance measurement, with dedicated modules on e-commerce SEO, local search, and mobile SEO. Additionally, learners gain hands-on exposure to Google Ads, remarketing techniques, budget planning, and ROI measurement. By the end of the course, students will be able to design, implement, and evaluate integrated digital marketing strategies tailored to real-world business environments.
- Teacher: MANALI MANOJ MANWADKAR