This course will enable students to utilize data science techniques for financial decision-making, including data processing, visualization, analysis, and modeling, enhancing their ability to evaluate investments effectively and ethically.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24DFSG 803 |
Financial Data Analysis (Theory) |
CO235: Examine the tools of financial data and classify the data in finance and costing CO236: Examine Processing, organising, cleaning and validation of financial Data CO237: Compare different Graphical and Visualization tools to present financial and non-financial data CO238: Analyse time series visualization and trend analysis techniques CO239: Examine Financial Modelling, forecasting and Investment Analysis techniques CO240: Contribute effectively in course-specific interaction
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Approach in teaching: Interactive Lectures, Discussion, Tutorials, Practical cases, Power point presentation. Learning activities for the students: Self learning assignments, Seminar presentation. |
CA test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentations. |
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