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

As of my update in April 2023 I don't have access to real time databases or the specific course syllabi for GNA Universitys BCA in Data Analytics program. Universities often update their curricula to keep up with industry trends and technological advancements. To get the current information it's important to check the official university website or directly contact the university. However I can provide an overview of what a BCA (Bachelor of Computer Applications) in Data Analytics program might include based on typical course content, in this field. This outline should give you an understanding of the subjects and areas of study you can expect but please verify with GNA University for the precise syllabus. In this course we will cover the fundamentals of computer systems, including hardware and software. We'll also dive into the basics of programming languages like C or Python. In addition there will be a focus on mathematics to computer science, such as discrete mathematics, calculus and statistics. Another essential topic we'll explore is data analytics. Its importance and various applications. We'll learn about database management systems. Delve into concepts like SQL and data modeling. To enhance your communication skills there will be a section on English language proficiency. Moving on to the year we'll delve into data structures and algorithms. Understanding how to organize and manipulate data efficiently. We'll also explore programming concepts using languages like Java or Python in an object oriented manner. Additionally you'll gain knowledge about operating systems and their functionalities. Web technologies will be introduced including HTML, CSS, JavaScript along with web development frameworks. You'll also get insights into statistics for data science. Probability theory along with statistics that are commonly used in analyzing data. In the year of study we'll explore big data analytics. An introduction to concepts such as Hadoop tools as well as their applications in real world scenarios. Machine learning algorithms will also be covered along with their role in data analytics. Cloud computing for data analytics will be discussed too; this involves understanding cloud services architecture. How they can be used for storing and analyzing large datasets efficiently. Furthermore advanced database management topics such, as NoSQL databases,data warehousing and mining techniques will also be explored.Finally in order to apply all the knowledge gained throughout the program you’ll have an opportunity to work on a project where you’ll apply various techniques learned so far to solve real world problems.Ethical considerations&privacy concerns related to handling information during analysis process would also be covered.

Course	Description
Introduction to Data Analytics	Basics of data analysis, including data types and sources.
Programming for Data Science	Programming languages like Python or R for data manipulation and analysis.
Database Management Systems	Understanding of SQL and NoSQL databases for storing and retrieving data.
Data Visualization	Techniques for visualizing data using tools like Tableau or Power BI.
Statistics for Data Science	Statistical methods and probability theory for data analysis.
Machine Learning	Introduction to machine learning algorithms and their application in data analytics.
Big Data Technologies	Overview of big data technologies like Hadoop and Spark.
Data Mining	Techniques for discovering patterns and knowledge from large datasets.
Business Intelligence	Using data analytics to support business decision-making processes.
Capstone Project	Practical project to apply learned skills on real-world data analytics problems.

This table is a general guide and the actual courses and their descriptions might vary. Please check with GNA University for the specific curriculum.