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

"As of my update in April 2023 I do not have real time access to databases or specific course syllabi for institutions like the Surya Group Of Institutions. Course syllabi can vary greatly between institutions. Even from one year to another within the same institution. However I can offer you an overview of what a BCA (Bachelor of Computer Applications) program in Data Analytics might cover, based on common industry standards and academic structures. Please keep in mind that, for the accurate and current syllabus information it is best to reach out directly to the Surya Group Of Institutions or visit their official website.nnIn the year of your studies you'll cover the basics of programming languages such as Python or Java. You'll also delve into mathematics for computer science, which includes topics like mathematics, calculus and foundational statistics. Another key area is computer fundamentals and office automation, where you'll learn about computer hardware, software essentials and used office productivity tools. Moving on to principles of data analytics you'll be introduced to the fields history, significance and core concepts. Database management systems will also be a focus with an emphasis on understanding database fundamentals SQL language and data modeling principles. Additionally communication skills will be honed to improve written and oral communication in settings. As you progress into the year of your program you can expect to explore advanced programming concepts that go deeper into data structures and algorithms. Understanding operating systems principles and functionalities will be crucial along with learning the basics of web technologies encompassing HTML, CSS and JavaScript. Data analysis and visualization techniques will also be covered including tools like Tableau or Power BI, for data interpretation. In the year of study students delve into more advanced statistical concepts essential for analyzing data. They also get introduced to the methodologies of software development and project management in software engineering. Additionally they explore the fundamentals of machine learning algorithms and their practical applications in data analysis. The curriculum covers data analytics providing an overview of key concepts, tools and technologies such as Hadoop and Spark. Students learn techniques for data mining to extract insights from large datasets. Moreover they gain an understanding of cloud computing for data analytics including the use of cloud platforms, for storing, processing and analyzing data. A significant part of the program involves a capstone project where students tackle real world data analytics challenges. The course also delves into ethics and privacy considerations within the realm of data analytics.

Based on the information I last received in April 2023 the specific course details for the BCA program in Data Analytics at Surya Group Of Institutions or similar schools may differ depending on the year and any updates to the curriculum. Nonetheless I can offer an overview of key subjects typically included in a Bachelor of Computer Applications (BCA) program focusing on Data Analytics. These topics aim to provide students with skills and knowledge, in data analytics within the realm of computer applications.In the realm of core computer science one can delve into topics such as the basics of programming languages like Python, Java or C++ comprehend database management systems encompassing SQL, NoSQL and database design principles grasp fundamental concepts of data structures and algorithms for efficient data handling get acquainted with the basics of computer networks including internet and intranet functioning and understand the operations of operating systems including process and memory management. Moving on to mathematics and statistics in computer science one must explore mathematics, linear algebra and calculus alongside delving into statistical analysis basics such as probability theory with applications in data analysis. Furthermore entering the domain of core data analytics unveils an overview of data analytics along with its significance and diverse applications. It also involves mastering techniques for data preprocessing like cleaning and transforming data for analysis purposes. Additionally one must learn about techniques and tools for visualizing data to derive insights effectively. Introduction to data technologies like Hadoop and Spark is crucial along with understanding machine learning algorithms applied in data analytics. Moreover utilizing methods plays a vital role in making informed decisions based on extensive data analysis. Venturing into topics reveals predictive analytics methodologies that aid in predicting future outcomes based on historical datasets. Data mining techniques are employed to extract patterns and valuable insights from volumes of information. Business intelligence tools are instrumental in converting data into actionable business intelligence for strategic decision making purposes. Lastly cloud computing integration for handling data storage processing is imperative, for effective analysis. The practical aspect involves engaging in a capstone project where students apply acquired knowledge to real world problems within the realm of data analytics. Internships offer experience by working within companies or organizations applying skills learned in the field.