B.Com (Business Analytics)

Course Details

B.Com Business Analytics syllabus typically includes core commerce subjects like accounting, economics, and finance, along with specialized courses in data analysis, statistics, and programming. It aims to equip students with the skills to analyze and interpret data to make informed business decisions. Specific topics covered often include statistical analysis, data visualization, programming languages (like Python and R), and database management. 

Core Subjects:

• Economics: Managerial Economics, Business Economics.

• Finance: Managerial Finance, Risk Management.

• Business Law: Company Law, Business Law.

• Business Communication: Business Communication, Business Mathematics.

• Statistics: Business Statistics, Operations Research.

• Management: Principles of Management, Human Resource Management.

• Marketing: Marketing Management, Contemporary Marketing. 

• Accounting: Financial Accounting, Cost and Management Accounting, Auditing.

Specialized Business Analytics Subjects:

• Data Analysis: Introduction to Business Analytics, Business Statistics for Analytics, Business Variables Analytics.

• Programming: Programming for Business Analytics, SQL, Python.

• Data Visualization: Data Visualization through Power BI, Introduction to Tableau.

• Statistical Software: Statistics with R.

• Predictive Analytics: Predictive Analysis, Financial Predictive Analytics.

• Big Data: Big Data Analytics, Hadoop and Apache Spark.

• Machine Learning: Machine Learning.

• Social Media Analytics: Social Media Analytics.

• Natural Language Processing (NLP): Natural Language Processing (NLP).

• Operational Research: Operational Research.

• Business Intelligence (BI): Business Intelligence (BI).

• Decision Support Systems: Decision Support Systems.

• Textual Analysis: Text Mining, Sentiment Analysis. 

Other Relevant Topics:

• Research Methodology: Research Methodology.

• Operations Management: Operations Management.

• Logistics and Supply Chain Analytics: Logistics and Supply Chain Analytics.

• Blockchain Analytics: Blockchain Analytics.

• Risk Management: Risk Management.

• Environmental Studies: Environmental Studies.

• Indian Constitution: Indian Constitution.

• Taxation: Tax.

• Accounting and Fraud Analytics: Accounting and Fraud Analytics.

• Open Electives: Open Electives (e.g., Marketing, Human Resource Management, Entrepreneurship).

• Vocational Courses: Vocational Courses.

• Data and Data Science: Data and Data Science.

• Classification of Analytics: Classification of Analytics.

• Applications of Analytics in Business: Applications of Analytics in Business.

• Types of Data: Nominal, Ordinal, Scale.

• Big Data and its Characteristics: Big Data and its characteristics.

• Microsoft Business Intelligence Tools for Spreadsheet Analysis: Microsoft business intelligence tools for spreadsheet analysis.