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Baba Farid Group of Institutions BCA in Data Science

BCA in Data Science at Baba Farid Group of Institutions - Course, Fees, Admission, Seats, Syllabus

location Bathinda ( Punjab )
location Estd In: 2015
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BCA in Data Science at Baba Farid Group of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Bathinda ( Punjab )
location
Estd In: 2015

Table of Contents

Baba Farid Group of Institutions BCA in Data Science Syllabus 2024

SemesterSubjects
1st SemesterIntroduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
2nd SemesterStatistics for Data Science, Database Management Systems, Python Programming, Organizational Behavior, Elective I
3rd SemesterData Analysis and Visualization, Machine Learning Basics, Web Technologies, Professional Ethics, Elective II
4th SemesterAdvanced Machine Learning, Big Data Analytics, Cloud Computing, Project Work I, Elective III
5th SemesterDeep Learning, Data Science Project Management, IoT Basics, Project Work II, Elective IV
6th SemesterCapstone Project, Industry Internship, Elective V, Elective VI
Please replace the placeholder subjects with the actual subjects from the syllabus of the BCA in Data Science program at Baba Farid Group of Institutions. This template includes a basic structure for a 6-semester program, which is common for BCA courses, but you might need to adjust it according to the actual structure and subjects of your specific program.

Baba Farid Group of Institutions BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming in Python, Mathematics for Data Science, Basic Statistics
Semester 2Advanced Python, Database Management Systems, Data Structures and Algorithms, Probability and Statistics
Semester 3Machine Learning Foundations, Data Preprocessing and Visualization, Linear Algebra, Operating Systems
Semester 4Advanced Machine Learning, Big Data Analytics, Database and Big Data Tools (like Hadoop), Research Methodology
Semester 5Deep Learning, Natural Language Processing, Cloud Computing for Data Science, Elective (Industry-specific applications of Data Science)
Semester 6Capstone Project, Internship, Advanced Topics in Data Science (like AI Ethics, IoT for Data Science), Elective (Advanced tools and technologies in Data Science)

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