As of my recent update in April 2023 I do not have access to real time databases or specific course syllabi for institutions like the Sai Group Of Institutions. Course syllabi can differ significantly between institutions. Even vary from year to year within the same program. However I can offer you an overview of what a BCA (Bachelor of Computer Applications) program in Data Analytics might cover based on typical course content in this field. Please be aware that, for the precise and current syllabus information it is advisable to reach out directly to Sai Group Of Institutions or visit their official website. In the year of Computer Science studies students learn about the basics of computers, software and hardware. They are introduced to programming languages like C or Python and delve into Mathematics topics such as Discrete Mathematics, Probability and Statistics. Database Management Systems cover the fundamentals of databases, SQL and data organization. English and Communication Skills are emphasized to enhance written and communication abilities while Environmental Studies focus on understanding environmental issues and sustainability. Moving on to the year students explore Data Structures and Algorithms which introduce concepts like algorithms, stacks, queues, lists and trees. Object Oriented Programming delves into programming using languages like Java or C++. Operating Systems cover elements related to operating systems such as processes, threads and memory management. Web Technologies touch upon basics like HTML, CSS, JavaScript along with web page design principles. Software Engineering covers the software development life cycle aspects including project management and design patterns. Statistics and Probability for Data Analytics delve into advanced statistical methods applied in data analytics. In the year of study comes Data Analytics and Visualization which offer techniques for data analysis along with tools for visualizing insights from data. Machine Learning introduces machine learning algorithms along with their applications while Big Data Technologies provide an overview of concepts related to big data such as Hadoop and Spark platforms. Cloud Computing covers cloud services models along with their applications in data analytics realms. Project Work entails a capstone project applying data analytics techniques on real world datasets while Electives offer courses, like deep learning or natural language processing depending on individual interests. Please note that this is an overview of a typical curriculum; actual courses may vary depending on specific institutions.