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Dibrugarh University BCA in Data Analytics

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

location Dibrugarh ( Assam )
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BCA in Data Analytics at Dibrugarh University - Course, Fees, Admission, Seats, Syllabus
location
Dibrugarh ( Assam )
Last Updated on February 06, 2024 9:49 PM
Dibrugarh University, situated in Assam, India offers a Bachelor of Computer Applications (BCA) program that caters to the diverse interests and career aspirations of students. The university is highly regarded in the region for its commitment to delivering quality education and promoting innovation in computer science studies. At Dibrugarh University the BCA program provides students with knowledge in various areas of computer applications. This equips them with the skills to excel in their chosen field. Students can choose from a range of specializations, including Software Development, Web Designing, Database Management, Networking and Artificial Intelligence. To ensure learning and industry exposure Dibrugarh University places great emphasis on hands on experience. This prepares students to meet the evolving demands of the IT industry. The university boasts experienced faculty members, state of the art infrastructure and collaborations with industry partners that enhance the learning experience for BCA students. Whether aspiring to become software developers, web designers, database administrators,network engineers or AI specialists; Dibrugarh Universitys BCA program with its specializations offers an ideal platform for pursuing ones passion and building a successful career, in the field of computer applications.
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Table of Contents

Dibrugarh University BCA in Data Analytics Highlights 2024

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

Dibrugarh University 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
Database ManagementSQL, NoSQL, Data Warehousing, Data Mining
Statistical Methods for Data AnalysisDescriptive Statistics, Inferential Statistics, Probability Distributions
Data VisualizationPrinciples of Visualization, Tools (Tableau, Power BI), Dashboard Design
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Big Data TechnologiesHadoop, Spark, Big Data Analytics Frameworks
Business IntelligenceBI Concepts, Decision Making, Strategic Use of Information
Project WorkReal-world Data Analytics Project, Tools Application, Reporting

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