- 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