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Gokul Global University BCA in Data Analytics

BCA in Data Analytics at Gokul Global University - Course, Fees, Admission, Seats, Syllabus

location Sidhpur ( Gujarat )
location Estd In: 2015
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BCA in Data Analytics at Gokul Global University - Course, Fees, Admission, Seats, Syllabus
location
Sidhpur ( Gujarat )
location
Estd In: 2015

Table of Contents

Gokul Global University BCA in Data Analytics Syllabus 2024

Sure, I'll create a simple HTML table for you that outlines a semester-wise course structure for a BCA in Data Analytics at Gokul Global University. Please note that the specific courses and their distribution across semesters might vary, so this is a generalized example. For the most accurate information, refer to the university's official curriculum.
SemesterCourses
Semester 1Introduction to Data Analytics, Programming Fundamentals, Mathematics for Computer Science, English Communication, Environmental Studies
Semester 2Database Management Systems, Data Structures, Discrete Mathematics, Principles of Management, Organizational Behavior
Semester 3Operating Systems, Web Technologies, Statistical Methods for Data Analysis, Python Programming, Minor Project I
Semester 4Object-Oriented Programming, Machine Learning Basics, Big Data Analytics, Business Intelligence, Minor Project II
Semester 5Advanced Database Management Systems, Data Visualization, Cloud Computing for Data Analytics, Elective I, Major Project I
Semester 6Internet of Things for Data Analytics, Advanced Machine Learning, Elective II, Major Project II, Internship
This table is a simplified representation and includes generic course titles that you might find in a BCA in Data Analytics program. For specific course details, elective options, and any updates to the curriculum, it's best to consult the official Gokul Global University website or contact the university directly.

Gokul Global University BCA in Data Analytics Important Topics 2024

ModuleImportant Topics
Introduction to Data AnalyticsBasics of Data Analytics, Data Types, Data Analytics Process
Programming for Data AnalyticsPython/R Programming, Data Structures, Control Structures
Database ManagementSQL, NoSQL, Data Warehousing, Data Modeling
Data PreprocessingData Cleaning, Data Transformation, Data Reduction
Statistical Methods for Data AnalysisDescriptive Statistics, Inferential Statistics, Hypothesis Testing
Data VisualizationPrinciples of Visualization, Tools (Tableau, Power BI), Dashboard Design
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Big Data TechnologiesHadoop, Spark, Big Data Analytics Tools

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