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Kalinga University BCA in Data Analytics

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

location Raipur ( Chhattisgarh )
location Estd In: 2013
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BCA in Data Analytics at Kalinga University - Course, Fees, Admission, Seats, Syllabus
location
Raipur ( Chhattisgarh )
location
Estd In: 2013
Last Updated on February 06, 2024 8:46 PM
Kalinga University is a known institution that offers an extensive Bachelor of Computer Applications (BCA) program with various specialization options. Focusing on learning and industry relevant skills Kalinga Universitys BCA program equips students with the necessary knowledge and expertise to thrive in the ever changing field of computer applications. At Kalinga University students have the opportunity to specialize in areas within the BCA program. These specializations include Software Development, Web Designing, Database Management, Networking and Cyber Security. Each specialization is tailored to meet industry demands and prepare graduates for real world challenges they may encounter. With faculty members and top notch infrastructure Kalinga University ensures that students receive a well rounded education that combines theory with hands on practice. The universitys strong ties to industry also provide students with internship and job placement opportunities allowing them to gain valuable experience and jumpstart their careers in the IT sector. In total Kalinga University offers five specializations, as part of its BCA program; Software Development, Web Designing, Database Management, Networking and Cyber Security.
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Table of Contents

Kalinga University BCA in Data Analytics Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 50,000 per yearFull-timePrivate

Kalinga University BCA in Data Analytics Important Topics 2024

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

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