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Swami Vivekananda Institute of Modern Science BCA in Data Analytics

BCA in Data Analytics at Swami Vivekananda Institute of Modern Science - Course, Fees, Admission, Seats, Syllabus

location Kolkata ( West Bengal )
location Estd In: 2009
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BCA in Data Analytics at Swami Vivekananda Institute of Modern Science - Course, Fees, Admission, Seats, Syllabus
location
Kolkata ( West Bengal )
location
Estd In: 2009
Last Updated on February 20, 2024 6:02 PM
The Swami Vivekananda Institute of Modern Science (SVIMS) is an educational institution situated in Kolkata, India. It offers an array of undergraduate and postgraduate programs covering diverse fields of study. One of its programs is the Bachelor of Computer Applications (BCA) in Data Analytics, which focuses on producing highly skilled professionals to meet the increasing demand for data analytics expertise in the digital age. The BCA in Data Analytics program at SVIMS spans three years. Combines a strong foundation in computer science with specialized knowledge in data analytics. The curriculum is carefully designed to equip students with the skills to effectively analyze interpret and manage large datasets. It covers subjects including programming languages, database management, statistics, machine learning and big data technologies. Students enrolled in this specialization will have opportunities to engage in practical projects and internships where they can apply their theoretical knowledge to real world challenges. The course aims to develop thinking, problem solving abilities and analytical skills essential for successful careers across industries such, as IT, finance, healthcare, e commerce and more. The BCA program in Data Analytics at SVIMS is an option for students who want to pursue a career in data analytics. It offers a curriculum that covers all the skills required in the industry making it highly relevant and valuable for aspiring professionals, in this field.
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Swami Vivekananda Institute of Modern Science BCA in Data Analytics Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries
Mode of StudyFull Time
Institute TypePrivate

Swami Vivekananda Institute of Modern Science BCA in Data Analytics Syllabus 2024

Creating a detailed semester-wise syllabus for Swami Vivekananda Institute of Modern Science's BCA in Data Analytics in a single line HTML format requires specific and up-to-date information that might not be readily available without access to the institution's curriculum documents. However, I can provide you with a generic template based on a typical BCA in Data Analytics program. Please note, for the actual syllabus, you should refer to the institute's official resources or contact them directly.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Data Analytics, English Communication, Computer Fundamentals and Office Automation
Semester 2Object-Oriented Programming, Database Management Systems, Data Structures, Environmental Studies, Principles of Management
Semester 3Operating Systems, Web Technologies, Advanced Database Management Systems, Statistical Methods for Data Analysis, Soft Skills
Semester 4Computer Networks, Big Data Analytics, Machine Learning, Financial Accounting, Project Work (Minor)
Semester 5Cloud Computing, Data Visualization, Python Programming, Elective 1, Elective 2
Semester 6Advanced Machine Learning, Business Intelligence, Elective 3, Project Work (Major), Internship
This table is a simplified representation and does not cover the full depth or specific courses that might be offered by Swami Vivekananda Institute of Modern Science. Electives and specific course titles can vary greatly, and there might be additional requirements such as workshops, seminars, or lab work that are not captured in this format. Always consult the official curriculum for the most accurate and detailed information.

Swami Vivekananda Institute of Modern Science BCA in Data Analytics Important Topics 2024

ModuleImportant Topics
Introduction to Data AnalyticsBasics of Data Analysis, Data Types, Data Analytics Process
Programming for Data AnalyticsPython/R Programming, Data Structures, Control Structures
Statistical Methods for Data AnalysisDescriptive Statistics, Inferential Statistics, Probability Distributions
Data VisualizationPrinciples of Data Visualization, Tools (Tableau, Power BI), Dashboard Design
Database ManagementSQL, NoSQL, Database Design, Data Warehousing
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Big Data AnalyticsHadoop, Spark, Big Data Processing Frameworks
Business IntelligenceBI Concepts, Tools, Strategic Decision-Making
Project WorkReal-world Data Analytics Project, Project Management, Reporting

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