SUBJECT ELECTIVE (SE - IL) COURSES: Specialization – Business Analytics (BA)
SEMESTER - II
Maximum 2 courses to be selected from the following list in Semester II
This subject elective course targets at the use of Voice of the Customer data in making data driven marketing decisions. Understanding an understanding of utility theory to measure customer preferences and choices. Identifying what customers’ value in a product, and assess what they are willing to pay for it. Analysing the use of various tools and frameworks to solve strategic marketing problems using marketing data. Determining the most effective target markets. Designing a study that incorporates the key tools of Marketing Analytics.
This subject elective course targets at the characteristics, opportunities and challenges of New Age Retailing and Digital Consumers. Understanding Consumer Buying Behavior and Trends in new age retailing. Applying various kinds of data for performing Retailing Analytics. Analysing the use of various tools and frameworks for predictive retail analytics. Evaluating variety of metrics and quantify key outcomes in multiple areas of Retail. Building value for Retail and Marketing by deriving Marketing ROI metrics.
This subject elective course targets at the usage of workforce analytics. Understanding the process of creating and using HR analytics. Learn to use the dashboards, pivot tables for data driven decision making in HR. Illustrate the use of various tools and frameworks for predictive analytics. Evaluating a variety of metrics and quantify key outcomes in multiple areas of HR. Building value for HR departments by showing clear links between HR and Business outcomes.
This subject elective course targets at the defining the Tableau terminology and screening how to Connect to your data, Edit and save a data source. Understanding the use of the Tableau interface to effectively create powerful visualizations and charts. Applying statistical techniques to analyze your data, parameters and input controls to give users control over certain values. Analysing data sources using data blending and Combine data from multiple tables in the same data source using joins. Evaluating basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations. BUILD spatial visualizations of non-geographic data by using advanced geographic mapping techniques and custom images and geocoding.
Data Warehousing Project Life Cycle Management:
This subject elective course targets at describing various stages in Data Warehouse development process. Understanding the significance of and Project Management issues to be considered in the Data warehouse and Business Intelligence projects and the practicality of each phase. Making the use of the Data warehouse Lifecycle. Formulating Requirements Definition using requirements gathering methods. Evaluating users of information and select appropriate Information Delivery Tools, OLAP models and Data Mining Techniques. Creating an Implementation Plan for a Data warehouse Project.