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

**Course Duration;** The program spans over a period of 3 years. **Academic Level;** This course falls under the category. **Tuition Fees;** The fees may vary ( refer to the latest updates). **Study Mode;** It is a full time program. **Type of Institution;** Excel Group Of Institutions is a college. Please be aware that the tuition charges for the Bachelor of Computer Applications (BCA) in Data Analytics at Excel Group Of Institutions can fluctuate depending on factors such as the academic year available scholarships and financial support options. For the up, to date information it is recommended to visit the official website of the institution or reach out to the admissions department directly.

Based on the information I last received in April 2023 I currently do not have access to the syllabus for the Bachelor of Computer Applications (BCA) program with a focus on Data Analytics offered by Excel Group Of Institutions. Nonetheless I can provide you with an overview of the typical topics and subjects covered in a BCA program emphasizing Data Analytics. This summary should offer you an idea of what to anticipate; however for the precise and current details it is recommended to reach out directly to the institution or visit their official website. **Syllabus Overview for BCA in Data Analytics** **Year 1; Foundation and Basics** 1. **Introduction to Programming**. Includes concepts of programming languages such as C or Python. 2. **Mathematics for Computing**. Concentrates on mathematics, calculus and statistics applicable to computing. 3. **Computer Fundamentals and Office Automation**. Covers aspects of computer hardware, software and MS Office applications. 4. **Principles of Management**. Introduces management principles behavior and business communication. 5. **Database Management Systems**. Covers basics of databases SQL (Structured Query Language) and data structuring. 6. **Web Technologies**. Provides an introduction to HTML, CSS (Cascading Style Sheets) and JavaScript utilized in web development. **Year 2; Intermediate Level with Core Focus, on Data Analytics** 1. **Topics Covered in Computer Science Curriculum;** 1. **Data. Algorithms;** This covers the basics of organizing data manipulating it efficiently and understanding efficiency. 2. **Operating Systems;** Exploring the workings of operating systems, such as processes, memory management and file systems. 3. **Object Oriented Programming;** Delving into programming concepts using popular languages like Java or Python with a focus on object oriented principles. 4. **Introduction to Data Analytics;** Understanding the essentials of data analytics including visualizing data performing analysis and getting acquainted with tools like Excel, R or Python libraries. 5. **Advanced Database Management;** Exploring topics in database management such as NoSQL databases data warehousing strategies and data mining techniques. 6. **Software Engineering Fundamentals;** An introduction to the software development lifecycle methodologies used in software engineering projects and project management principles. **Year 3 Focus; Specialization and Project Work** 1. **Big Data Analytics Overview;** An introduction to data concepts along with tools like Hadoop and Spark for processing large datasets efficiently. 2. **Machine Learning Basics;** Understanding foundational machine learning algorithms including unsupervised learning methods along with their applications in data analytics. 3. **Business Intelligence Tools;** Learning about tools and techniques that help transform data into valuable insights, for decision making purposes.

Given the dynamic nature of educational curricula and the specific requirements of institutions, it's important to note that the syllabus for a BCA in Data Analytics specialization can vary significantly across different institutions, including Excel Group Of Institutions. However, I can provide you with a generalized outline of important topics that are commonly included in such programs. For the most accurate and up-to-date information, please refer to the official Excel Group Of Institutions website or contact their academic department directly. Here's a simplified single-line HTML format table that outlines some of the key topics you might expect in a BCA in Data Analytics specialization syllabus:

Core Programming	Statistics & Mathematics	Data Management	Data Analysis & Visualization	Machine Learning	Big Data Technologies	Business Intelligence	Project Work/Internship
Python, R Programming	Descriptive Statistics, Inferential Statistics, Linear Algebra, Calculus	Database Management Systems, SQL, NoSQL	Data Analysis with Python/R, Data Visualization Tools	Supervised and Unsupervised Learning, Neural Networks	Hadoop, Spark	BI Tools and Techniques, Dashboard Development	Capstone Projects, Industry Internships

This table provides a broad overview of the topics that are often central to a BCA in Data Analytics specialization. Remember, the specific curriculum and emphasis can vary, so it's crucial to consult the institution directly for the most accurate syllabus.