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Manav Rachna University BCA in Data Analytics

BCA in Data Analytics at Manav Rachna University - Course, Fees, Admission, Seats, Syllabus

location Faridabad ( Haryana )
location Estd In: 2004
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BCA in Data Analytics at Manav Rachna University - Course, Fees, Admission, Seats, Syllabus
location
Faridabad ( Haryana )
location
Estd In: 2004
Last Updated on February 06, 2024 8:26 PM
Manav Rachna University, one of the educational institutions in India provides a Bachelor of Computer Applications (BCA) program that offers various specializations to cater to the diverse interests and career goals of students. With a focus on practical learning and industry relevant skills the BCA specializations at Manav Rachna University provide students with a comprehensive understanding of different areas within the field of computer applications. At Manav Rachna University there are four specializations for BCA students; Software Development, Cyber Security, Artificial Intelligence and Data Science. These specializations are designed to equip students with the knowledge and expertise to excel in their chosen field. The universitys advanced infrastructure, experienced faculty members and collaborations with industry partners ensure that students receive a rounded education that prepares them for the dynamic and competitive IT industry. By offering a range of specializations Manav Rachna University aims to empower students to pursue their passions and build successful careers in the constantly evolving field of computer applications. Whether students aspire to become software developers, experts, in cybersecurity AI specialists or data scientists Manav Rachna University provides them with the platform and resources needed to achieve their goals.
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Table of Contents

Manav Rachna University BCA in Data Analytics Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 1,30,000 per yearFull-timePrivate

Manav Rachna University BCA in Data Analytics Important Topics 2024

Course 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, Trees, Sorting and Searching Algorithms
Mathematics for Data ScienceLinear Algebra, Calculus, Statistics and Probability, Discrete Mathematics
Machine LearningSupervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks
Big Data AnalyticsHadoop Ecosystem, Spark, Hive, Pig, Big Data Processing and Analysis
Data VisualizationPrinciples of Data Visualization, Tools (Tableau, Power BI), Dashboard Design
Python ProgrammingPython Basics, Data Structures, OOP Concepts, File Handling, Libraries (NumPy, Pandas)
Web TechnologiesHTML, CSS, JavaScript, Web Frameworks, Client-Server Architecture

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