Course Objective:
The objective of the course is to provide an understanding of basic concepts of Business Analytics like
Descriptive, Predictive and Prescriptive Analytics and an overview of Programming using R.
Course Outcomes:
CO 1 Develop a basic understanding on business analytics and the types of business analytics.
CO 2 Identify and categorize of business analytics, descriptive, predictive, and prescriptive.
CO 3 Understand the various business analytics in practice.
CO 4 Students can prepare tables and execute the results using Ms- excel.
CO 5 Students can have a brief understanding on the various aspects of descriptive statistics.
CO 6 Understand the different measures of central tendency and measure of variability.
CO 7 Understand and explain the nature of predictive analytics.
CO 8 Identify the various forecasting techniques.
CO 9 Understand data mining and its applications and techniques.
CO 10 Understand and explain the regression analysis –linear and multiple.
CO 11 Understand linear optimization.
CO 12 Student will understand how to solve a linear program using open solver.
CO 13 Understand modern approaches to decision-making under uncertainty.
CO 14 Understand the R-Environment.
CO 15 Understand the R-Package.
CO 16 Students will be able to reading and writing data in R.
SCOPE OF THE COURSE:
Business analytics have become vital for the growth and development of the companies of today. Large investments are being made in big data analysis to make better business decisions from past data this past data is being generated by different sources such as business people,marketing,education,engineering etc business analytics plays a very important role by using statistics and tools to decode consumer insights.
- Teacher: JAYASREE M