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Indrashil University BCA in Data Science

BCA in Data Science at Indrashil University - Course, Fees, Admission, Seats, Syllabus

location Ahmedabad ( Gujarat )
location Estd In: 2017
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BCA in Data Science at Indrashil University - Course, Fees, Admission, Seats, Syllabus
location
Ahmedabad ( Gujarat )
location
Estd In: 2017
Last Updated on February 20, 2024 4:50 PM
Introducing the Bachelor of Computer Applications (BCA) in Data Science program offered by Indrashil University, an institution committed to delivering exceptional higher education. This crafted program is designed to meet the growing demand for skilled data science professionals. It equips students with an understanding of the fundamental principles of data science encompassing areas such as data analysis, machine learning, big data technologies and statistical methods. The comprehensive three year curriculum ensures a rounded education. Situated in a stimulating campus environment Indrashil University provides state of the art facilities and fosters innovation critical thinking and practical application of knowledge. The BCA in Data Science program combines core computer science foundations with expertise in data science to prepare students for a successful career in this fast paced and ever evolving field. Students enrolled in this program will benefit from the guidance of faculty members who possess extensive academic and industry experience. The curriculum emphasizes hands on projects, internships and workshops to provide real world exposure. Upon graduation from Indrashil Universitys BCA, in Data Science program graduates will emerge as skilled professionals equipped to tackle the challenges posed by our increasingly data driven world.
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Indrashil University BCA in Data Science Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 YearsUndergraduateInformation not availableFull TimePrivate

Indrashil University BCA in Data Science Syllabus 2024

Given the specific request for a single-line HTML format and the lack of detailed semester-wise syllabus information for the Indrashil University BCA in Data Science course at my disposal, I'll create a generic template for you. This template can be customized by inserting the actual course details into the respective cells. Please note that the actual syllabus details should be obtained from the university's official resources or website.
SemesterSubjects
Semester 1Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2Statistics for Data Science, Database Management Systems, Object-Oriented Programming, Business Communication, Indian Constitution
Semester 3Data Structures and Algorithms, Operating Systems, Data Visualization, Soft Skills, Elective I
Semester 4Machine Learning, Big Data Analytics, Web Technologies, Professional Ethics, Elective II
Semester 5Deep Learning, Cloud Computing, Project Work I, Elective III, Elective IV
Semester 6Capstone Project, Internship, Elective V, Elective VI
This table includes a header row with two columns: "Semester" and "Subjects". Each subsequent row represents a semester with a list of generic subjects that might be part of a BCA in Data Science course. You should replace the placeholder subjects with the actual subjects offered in each semester by Indrashil University for the BCA in Data Science program.

Indrashil University BCA in Data Science Important Topics 2024

ModuleImportant Topics
Programming FundamentalsIntroduction to Programming, Data Types, Control Structures, Functions, Arrays
Database Management SystemsDBMS Concepts, SQL Queries, Normalization, ER Diagrams, Transactions and Concurrency Control
Data Structures and AlgorithmsArrays, Stacks, Queues, Linked Lists, Sorting and Searching Algorithms, Graphs and Trees
Mathematics for Data ScienceLinear Algebra, Calculus, Statistics and Probability, Discrete Mathematics
Machine LearningSupervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Deep Learning
Data VisualizationIntroduction to Data Visualization, Tools and Techniques, Dashboard Design, Data Interpretation
Big Data TechnologiesHadoop Ecosystem, Spark, NoSQL Databases, Data Lakes, Data Warehousing
Cloud Computing for Data ScienceCloud Service Models, Cloud Deployment Models, AWS/GCP/Azure for Data Science, Cloud-based Data Analytics

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