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Padmashree Group Of Institutions BCA in Data Analytics

BCA in Data Analytics at Padmashree Group Of Institutions - Course, Fees, Admission, Seats, Syllabus

location Bangalore ( Karnataka )
location Estd In: 2001
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BCA in Data Analytics at Padmashree Group Of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2001
Last Updated on February 21, 2024 5:42 PM
The Bachelor of Computer Applications (BCA) program in Data Analytics at Padmashree Group Of Institutions is a cutting edge program tailored to provide students with the skills and knowledge to thrive in the ever changing field of data analytics. This comprehensive program explores the nuances of data analysis, big data technologies, machine learning and statistical methods preparing students for a career in the realm of data science and analytics. The curriculum is thoughtfully designed to blend knowledge with hands on application ensuring that students are well equipped with modern analytics tools and techniques. The faculty members, consisting of professionals and scholars with a wealth of experience in data analytics are dedicated to offering a robust learning environment that encourages innovation and critical thinking. Admission to the BCA program in Data Analytics is competitive involving a selection process that evaluates candidates based on their academic achievements, enthusiasm for technology and potential for creative thinking. The institution aims to attract individuals aspiring to immerse themselves in the world of data and emerge as leaders, in the field. Through this program Padmashree Group Of Institutions strives to nurture the cohort of skilled data analytics professionals who are prepared to address the challenges of the digital era.
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Table of Contents

Padmashree Group Of Institutions BCA in Data Analytics Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries by Region
Mode of StudyFull Time
Institute TypePrivate

Padmashree Group Of Institutions BCA in Data Analytics Syllabus 2024

As of my last update in April 2023, I don't have access to real-time data or specific course syllabi for institutions such as the Padmashree Group Of Institutions. However, I can provide you with a general outline of what a Bachelor of Computer Applications (BCA) syllabus might look like. Please note, for the most accurate and up-to-date syllabus, you should contact Padmashree Group Of Institutions directly or visit their official website. Below is a simplified example of what a BCA syllabus could look like, formatted as requested:
SemesterSubjects
Semester 1Introduction to Programming using C, English Language and Communication Skills, Mathematics for Computer Science, Digital Fundamentals, Introduction to Computers and IT, Environmental Studies
Semester 2Object-Oriented Programming using C++, Data Structures, Discrete Mathematics, Database Management Systems, Operating Systems, Personality Development and Communication Skills
Semester 3Data Communication and Networking, Advanced Programming using Java, System Analysis and Design, Management Information Systems, Statistical Techniques, Web Technologies
Semester 4Software Engineering, Computer Graphics and Multimedia, Microprocessor and Assembly Language, Linux and Shell Programming, Object-Oriented Analysis and Design, Elective I
Semester 5Internet Programming, Cyber Law and Ethics, Artificial Intelligence, Elective II, Project Work (Part I), Industrial Training (Internship)
Semester 6Cloud Computing, Mobile Application Development, Elective III, Project Work (Part II), Seminar on Emerging Technologies, Comprehensive Viva
Remember, this table is a generalized example and the actual syllabus may vary. Electives and specific subjects can differ based on the institution's curriculum updates and academic focus areas.

Padmashree Group Of Institutions BCA in Data Analytics Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Computers, Programming in C, Discrete Mathematics
Semester 2Object-Oriented Programming with C++, Data Structures, Probability and Statistics
Semester 3Database Management Systems, Operating Systems, Python Programming
Semester 4Web Technologies, Java Programming, Linear Algebra for Data Analytics
Semester 5Machine Learning, Big Data Analytics, Data Visualization
Semester 6Deep Learning, Cloud Computing for Data Analytics, Project Work

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