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Sri Sai University BCA in Data Science

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

location Palampur ( Himachal Pradesh )
location Estd In: 1985
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BCA in Data Science at Sri Sai University - Course, Fees, Admission, Seats, Syllabus
location
Palampur ( Himachal Pradesh )
location
Estd In: 1985
Last Updated on February 20, 2024 4:52 PM
Sri Sai University is located in the landscapes of Himachal Pradesh and provides an advanced Bachelor of Computer Applications (BCA) program that focuses on Data Science. This program is specifically designed to meet the growing demand for professionals in the field. It covers a range of important subjects, such as Machine Learning, Big Data Analytics, Statistical Methods, Python Programming and Database Management Systems. By doing it ensures a strong foundation in both theoretical knowledge and practical applications. The university offers attention and a highly engaging learning experience for each student due to its limited seat intake. Moreover the fee structure has been thoughtfully designed to be competitive and affordable allowing quality education in the field of data science to be accessible. Admission to this program is based on performance in an entrance exam accepted by the university. This selection process reflects the universitys commitment to enrolling students who have an aptitude for data science. By pursuing this program students not gain access to lucrative career opportunities but also acquire skills that are essential for navigating the challenges of the digital age. Sri Sai Universitys BCA program in Data Science stands out as a choice, for aspiring data scientists. It offers a blend of rigorous academics, practical exposure and a beautiful learning environment.
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Sri Sai University BCA in Data Science Highlights 2024

Course DurationCourse LevelFeeMode of StudyInstitute Type
3 YearsUndergraduateNot SpecifiedFull TimeUniversity

Sri Sai University BCA in Data Science Syllabus 2024

As of my last update in April 2023, I don't have access to the specific course syllabus for the BCA in Data Science at Sri Sai University. Course syllabi can vary significantly between institutions and are subject to change. However, I can provide you with a general outline of what a BCA in Data Science program might include, based on common subjects and topics found in similar programs. Please check with Sri Sai University directly for the most accurate and up-to-date syllabus. Here's a general outline in the requested format:
SemesterSubjectsTopics
1Introduction to Programming, Mathematics for Data Science, Fundamentals of Computer and ITProgramming basics, Algebra, Statistics, Computer hardware and software basics
2Data Structures and Algorithms, Database Management Systems, Principles of Data ScienceArrays, Linked Lists, Sorting and Searching, SQL, NoSQL, Data Science lifecycle
3Object-Oriented Programming, Operating Systems, Data Analysis and VisualizationClasses and objects, Memory management, Linux basics, Python/R for data analysis, Tableau/PowerBI
4Machine Learning, Web Technologies, Statistical Methods for Data ScienceSupervised and Unsupervised Learning, HTML/CSS/JavaScript, Probability, Hypothesis testing
5Big Data Analytics, Cloud Computing for Data Science, Elective IHadoop, Spark, AWS/Azure for Data Science, Elective based on specialization
6Project Work, Elective II, Elective IIICapstone project, Advanced topics based on chosen electives
This table is a simplified and generalized version of what a BCA in Data Science curriculum might look like. The actual curriculum at Sri Sai University could include additional subjects, practical lab sessions, internships, or other academic requirements. Always refer to the official university resources for the most accurate information.

Sri Sai University BCA in Data Science Important Topics 2024

Course ModuleImportant Topics
Introduction to Data ScienceBasics of Data Science, Data Types, Data Science Lifecycle
Programming for Data SciencePython Programming, R Programming, Data Structures
Mathematics for Data ScienceLinear Algebra, Calculus, Statistics & Probability
Data Management and ManipulationSQL, NoSQL, Data Cleaning, Data Transformation
Data Analysis and VisualizationExploratory Data Analysis, Tableau, Matplotlib, Seaborn
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Deep LearningNeural Networks, TensorFlow, Keras
Big Data TechnologiesHadoop, Spark, Big Data Analytics
Capstone ProjectReal-world Data Science Project, Project Management, Presentation Skills

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