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