Business Intelligence I (25-27)

    • Course Outcome (CO) 1 Explain the fundamental concepts, evolution, and need for Business Intelligence in organizational decision-making.
    • Course Outcome (CO) 2 Analyze how BI supports business performance management and strategic decision processes using information hierarchies.
    • Course Outcome (CO) 3 Evaluate various BI front-end tools such as dashboards, scorecards, and self-service BI platforms for business use.
    • Course Outcome (CO) 4 Assess the critical success factors and implementation strategies for deploying BI solutions effectively.
    • Course Outcome (CO) 5 Examine the role of Big Data in BI and apply case-based learning to identify real-world business intelligence applications.
    Catalogue Code: T3289
    Course Type: Specialization Core Course
    Total Credit: 2
    Credits (Theory): 2
    No. of Hours: 30
    Internal Marks: 60
    External Marks : 40
    Total Marks: 100
    Course Code: 0212410126

    Data preparation and Data management (25-27)

      • Course Outcome (CO) 1 Demonstrate the ability to acquire, structure, and represent raw and processed data using appropriate measurement types and tidy data principles.
      • Course Outcome (CO) 2 Apply data mining frameworks such as CRISP-DM, SEEMA, and KDD to explore, analyze, and interpret datasets effectively.
      • Course Outcome (CO) 3 Perform comprehensive data cleaning by handling missing values, removing duplicates, editing text variables, and transforming non-numerical data.
      • Course Outcome (CO) 4 Construct, manipulate, and summarize datasets through operations like filtering, sorting, merging, slicing, sub setting, and reshaping using Python-based tools.
      • Course Outcome (CO) 5 Evaluate and implement reprocessing techniques such as data normalization, feature selection, and bias handling to prepare datasets for modeling and analysis.
      Catalogue Code: T3443
      Course Type: Specialization Core Course
      Total Credit: 2
      Credits (Theory): 2
      No. of Hours: 30
      Internal Marks: 60
      External Marks : 40
      Total Marks: 100
      Course Code: 0212410127

      Business Analytics (25-27)

        • Course Outcome (CO) 1 To develop the ability to comprehend, clean, and analyze datasets using Python and Excel for meaningful insights.
        • Course Outcome (CO) 2 To apply regression, forecasting, logistic regression, and decision tree models for predictive and logical decision-making.
        • Course Outcome (CO) 3 To utilize business intelligence tools, data warehousing, and OLAP techniques for effective analysis and reporting.
        • Course Outcome (CO) 4 To perform risk analysis, linear optimization, and BPM to support data-driven business decisions.
        • Course Outcome (CO) 5 To integrate descriptive, predictive, and prescriptive analytics for solving business problems and strategic planning.
        Catalogue Code: T2227
        Course Type: Specialization Core Course
        Total Credit: 2
        Credits (Theory): 2
        No. of Hours: 30
        Internal Marks: 60
        External Marks : 40
        Total Marks: 100
        Course Code: 0212410128