BCA in Data Analytics at KL University Hyderabad - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have access to real time databases or specific university syllabi including the BCA in Data Analytics program at KL University, Aziz Nagar, Hyderabad. University curricula can vary quite a bit. Are subject to updates and revisions by the institution. However a typical BCA in Data Analytics program usually covers a range of topics in computer applications with a focus, on data analytics. Here's a general overview of what you might expect to find in such a program, based on BCA and data analytics curricula; **Introduction to Programming**; This course introduces the basics of programming languages like Python or Java. **Mathematics for Computer Science**; This course covers topics in mathematics relevant to computer science, including discrete mathematics, probability and statistics. **Computer. Office Automation**; In this course you will learn the principles of computer hardware and software. It also covers used software tools. **Principles of Data Analytics**; This course provides an introduction to the field of data analytics. You will learn about its scope and various applications. **Database Management Systems**; This course focuses on the fundamentals of database systems. It covers topics like SQL and data modeling. **Communication Skills**; This course is designed to enhance your written and oral communication skills with an emphasis, on technical writing. In the year of the program students will delve into various subjects, including object oriented programming, advanced database management systems that cover complex concepts such as NoSQL databases statistics for data science that explore advanced statistical methods and their applications in the field. Moreover they will learn about machine learning algorithms and their practical applications in data analytics. The curriculum also includes data analytics where students will be introduced to big data concepts and tools like Hadoop and Spark along with techniques for processing large datasets. Additionally they will gain knowledge in data visualization techniques using tools designed for analysis and presentation purposes. Cloud computings role in data analytics is also covered to provide insights into how cloud platforms can be utilized for storing and processing datasets. Lastly a capstone project is undertaken during the year where students have the opportunity to apply their acquired knowledge to address a real world problem or research question. As for courses students have the option to specialize further by choosing topics such as artificial intelligence, advanced web technologies, cybersecurity fundamentals, among others.

Module	Important Topics
1. Introduction to Data Analytics	Basics of Data Analysis, Data Types, Data Analytics Process
2. Programming for Data Analytics	Python/R Programming, Data Structures, Algorithms
3. Database Management	SQL, NoSQL, Data Warehousing
4. Data Visualization	Tableau, Power BI, Data Presentation Techniques
5. Statistics for Data Science	Descriptive Statistics, Inferential Statistics, Probability
6. Machine Learning	Supervised Learning, Unsupervised Learning, Model Evaluation
7. Big Data Analytics	Hadoop, Spark, Big Data Processing Frameworks
8. Business Intelligence	BI Tools, Decision Making, Strategic Planning

This table provides a simplified view of what might be covered in a BCA in Data Analytics program, focusing on key areas such as programming, database management, data visualization, statistics, machine learning, big data analytics, and business intelligence. Remember, the actual syllabus may include more specific topics or different areas of focus, so it's important to consult the university's official resources for the most accurate information.