Master of Business Administration/ Batch 2024-26 / Semester I / Specialization Core Courses : BA
1. To understand the basic concepts of Data Mining
2. To install and undestand the basic concepts of Weka
3. To understand the importance of Data Preprocessing and apply preprocessing techniques in Weka
4. To provide an insight to varoius data mining alogorithms

CO-1:- The student will be able to analyze the basic concepts of data mining
CO-2:- The student will be able to analyze the basic concepts of Weka
CO-3:- The student will be able to analyze the importance of Data Preprocessing and apply preprocessing techniques in Weka
CO-4:- The student will be able to assess varoius data mining alogorithms
CO-5:- The student will be able to analyze training and testing concepts
Catalogue Code: T3397
Course Type: Generic Core Course
Total Credit: 2
Credits (Theory): 2
No. of Hours: 30
Internal Marks: 60
External Marks : 40
Total Marks: 100
Experiential Learning: Yes
Course Code: 212410124
Floating Credit: No
Audit Course: No
Course Needs: Global
1. To provide valuable insight about the meaning, use and need of Spreadsheet for business analytics
2. Understand fundamentals of spreadsheet modelling
3. Learn how to apply formulas and functions in spreadsheet
4. Apply statistical analysis on data sets and perform data visualization

CO-1:- The students will be able to explain the use of spreadsheet for business analytics
CO-2:- The students will be able to explain fundamentals of spreadsheet modelling
CO-3:- The students will be able to create formulas and functions in spreadsheet
CO-4:- The students will be able to analyze the data sets and perform data visualization
CO-5:- The students will be able to create dashboards
Catalogue Code: T3639
Course Type: Generic Core Course
Total Credit: 2
Credits (Theory): 2
No. of Hours: 30
Internal Marks: 60
External Marks : 40
Total Marks: 100
Experiential Learning: Yes
Course Code: 212410123
Floating Credit: No
Audit Course: No
Course Needs: Global