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DAVV BCA in Data Analytics

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

location Indore ( Madhya Pradesh )
location Estd In: 1986
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BCA in Data Analytics at DAVV - Course, Fees, Admission, Seats, Syllabus
location
Indore ( Madhya Pradesh )
location
Estd In: 1986
Last Updated on February 06, 2024 9:32 PM
Devi Ahilya Vishwavidyalaya, commonly known as DAVV is a known university situated in Indore, Madhya Pradesh, India. It offers an array of undergraduate and postgraduate programs, including the Bachelor of Computer Applications (BCA) specialization. BCA is a three year undergraduate program that focuses on computer science and its applications in industries. At DAVV students have the opportunity to specialize in areas within the BCA program allowing them to acquire in depth knowledge and expertise in their chosen field. Currently Devi Ahilya Vishwavidyalaya provides three specializations for BCA students; Software Engineering, Artificial Intelligence and Cyber Security. These specializations cater to the increasing demand for professionals in these domains and provide students with a competitive advantage, in the job market. Through these BCA programs Devi Ahilya Vishwavidyalaya aims to equip students with the necessary skills and knowledge to excel in their desired career paths. The universitys experienced faculty members, state of the art infrastructure facilities and industry collaborations ensure that students receive an education that prepares them for the challenges of the ever evolving IT industry.
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Table of Contents

DAVV BCA in Data Analytics Highlights 2024

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

DAVV BCA in Data Analytics Important Topics 2024

CourseDescription
Introduction to Data AnalyticsBasics of data analysis, including data types and sources.
Programming for Data AnalyticsProgramming languages like Python or R for data manipulation and analysis.
Database ManagementUnderstanding of SQL and NoSQL databases for storing and retrieving data efficiently.
Data MiningTechniques for discovering patterns and knowledge from large datasets.
Statistics for Data AnalyticsStatistical methods and probability theory for analyzing and interpreting data.
Data VisualizationTools and techniques for visualizing data for better understanding and decision-making.
Machine LearningIntroduction to machine learning algorithms for predictive modeling.
Big Data TechnologiesOverview of technologies like Hadoop and Spark for handling big data.
This table provides a simplified overview of the types of courses you might expect in a BCA Data Analytics program. Remember, the specific curriculum and course titles may vary by institution.

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