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ISBR bangalore BCA in Data Analytics

BCA in Data Analytics at ISBR bangalore - Course, Fees, Admission, Seats, Syllabus

location Bangalore ( Karnataka )
location Estd In: 2007
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BCA in Data Analytics at ISBR bangalore - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2007
Last Updated on February 20, 2024 4:43 PM
The Data Analytics program in Bachelor of Computer Applications (BCA) at ISBR Business School, located in Bangalore is a course that aims to equip students with the necessary skills and knowledge to thrive in the ever changing field of data analytics. This comprehensive program covers subjects like Data Structures, Database Management Systems, Big Data Analytics, Machine Learning and Artificial Intelligence. It ensures a rounded education by combining theory with practical application. The program offers seats to ensure individual attention and an immersive learning environment for every student. The fee structure is designed considerately to make this cutting edge education accessible to all. Admission into this program is based on performance in recognized entrance exams showcasing the schools commitment to excellence and merit based selection. Situated in the technology hub of Bangalore, ISBR Business School leverages its industry connections to provide students with valuable real world exposure through internships and placement opportunities. As a result BCA in Data Analytics has become a coveted choice, for those aspiring to be successful data professionals.
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Table of Contents

ISBR bangalore BCA in Data Analytics Highlights 2024

Course NameCourse LevelFeeMode of StudyInstitute Type
BCA in Data AnalyticsUndergraduateCheck with institutionFull-timePrivate

ISBR bangalore BCA in Data Analytics Important Topics 2024

ModuleImportant Topics
Programming FundamentalsIntroduction to Programming, Data Types, Control Structures, Functions, Arrays
Database Management SystemsDBMS Concepts, SQL Queries, Normalization, ER Diagrams, Transactions and Concurrency Control
Data Structures and AlgorithmsArrays, Stacks, Queues, Linked Lists, Sorting and Searching Algorithms, Complexity Analysis
Web TechnologiesHTML, CSS, JavaScript, Web Servers, Client-Server Architecture
Object Oriented ProgrammingClasses and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction
Software EngineeringSoftware Development Life Cycle, Agile Methodologies, Software Testing and Quality Assurance
Data AnalyticsIntroduction to Data Analytics, Statistical Methods, Data Visualization, Machine Learning Basics
Big Data TechnologiesHadoop Ecosystem, Spark, NoSQL Databases, Data Lakes vs. Data Warehouses

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