• Course Outcome (CO) 1 The students will be able to analyze sentiment and opinion analysis in the development of business solutions
    • Course Outcome (CO) 2 The students will be able to create social CRM network models to solve business related issues
    • Course Outcome (CO) 3 The students will be able to explain the types of data in social networks for business related issues in allied sectors
    • Course Outcome (CO) 4 The students will be able to implement context mining based natural language processing algorithms for data extraction in SM for business related fields
    • Course Outcome (CO) 5 The students will be able to examine the ethical and legal implications of leveraging social media data
    Catalogue Code: T2692
    Course Type: Open Elective
    Total Credit: 2
    Credits (Theory): 2
    No. of Hours: 30
    Internal Marks: 60
    External Marks : 40
    Total Marks: 100
    Course Code: 0212410141
      • Course Outcome (CO) 1 Understand the fundamentals of Python programming, including variables, data types, control structures, functions, and object-oriented programming concepts.
      • Course Outcome (CO) 2 Apply Python’s core data structures (lists, tuples, sets, dictionaries) and modules for effective data manipulation and automation in business processes.
      • Course Outcome (CO) 3 Utilize Python libraries like NumPy and Pandas for business data handling, analysis, and cleaning to generate actionable insights.
      • Course Outcome (CO) 4 Develop visualizations using Matplotlib and Seaborn to support data-driven decision-making in a business context.
      • Course Outcome (CO) 5 Implement basic machine learning and optimization techniques (using Scikit-learn, PuLP, Keras/TensorFlow) for solving business problems.
      Catalogue Code: TE7964
      Course Type: Open Elective
      Total Credit: 2
      Credits (Theory): 2
      No. of Hours: 30
      Internal Marks: 60
      External Marks : 40
      Total Marks: 100
      Course Code: 0212410142
        • Course Outcome (CO) 1 Understand key visualization techniques and theory to support data-driven decision-making.
        • Course Outcome (CO) 2 Interpret and apply principles of graphical perception and visual encoding effectively.
        • Course Outcome (CO) 3 Create visual insights practically using industry tools like Tableau and Power BI.
        • Course Outcome (CO) 4 Evaluate and select visualization tools based on data, audience, and business needs.
        • Course Outcome (CO) 5 Tell impactful data stories and design dashboards that communicate insights to diverse audiences.
        Catalogue Code: T3799
        Course Type: Open Elective
        Total Credit: 2
        Credits (Theory): 2
        No. of Hours: 30
        Internal Marks: 60
        External Marks : 40
        Total Marks: 100
        Course Code: 0212410143