Course Duration | Fees | Mode of Study | Course Level | Institute Type |
3 Years | Varies | Full-time | Undergraduate | Private |
Year 1 | Year 2 | Year 3 |
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1. Fundamentals of Computer & IT 2. Programming in C 3. Digital Electronics & Logic Design 4. Discrete Mathematics 5. Communication Skills 6. Environmental Studies 7. Web Technologies | 1. Object-Oriented Programming with C++ 2. Data Structures and Algorithms 3. Database Management Systems 4. Operating Systems 5. Business Data Processing 6. Statistical Methods for Data Analysis 7. Python Programming | 1. Data Warehousing and Data Mining 2. Big Data Analytics 3. Machine Learning 4. Artificial Intelligence 5. Cloud Computing 6. Project Work (Data Analytics) 7. Electives (Choose any) |
Important Topics in Data Analytics for BCA at Symbiosis Institute of Computer Studies and Research |
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Introduction to Data Analytics |
Statistics for Data Science |
Programming for Data Analytics (Python/R) |
Data Visualization Techniques |
Machine Learning Algorithms |
Big Data Technologies |
Database Management Systems |
Data Mining and Predictive Modeling |
Business Intelligence Tools |
Practical Applications of Data Analytics in Industry |