Syllabus
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Course Code: DSE-53 Course Name: Business Analytics-I |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction to Business Analytics: Overview and its importance in decision-making; Key concepts and terminology in business analytics; Application areas and industries benefiting from business analytics; Introduction to data-driven decision making; Ethical considerations in business analytics | |
| 2 | Foundations of Data Analysis: Data collection methods and sources; Data cleaning and preprocessing techniques; Exploratory data analysis and visualization; Descriptive statistics and data summarization using MS-Excel | |
| 3 | Data Mining Techniques: Overview of data mining and its applications; Association analysis and market basket analysis; Classification and prediction techniques; Introduction to text mining and sentiment analysis | |
| 4 | Business Intelligence (BI) and Reporting: Introduction to BI and reporting tools; Data visualization for effective communication; Key performance indicators (KPIs) and metrics; Using BI tools for decision support and reporting | |
| 5 | Business Analytics Applications: Customer analytics and segmentation; Supply chain analytics and optimization; Financial analytics and risk assessment; Marketing analytics and campaign optimization; HR Analytics | |
