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

As of my update in April 2023 I cannot provide you with the most up to date syllabus for the BCA in Data Analytics program at Era University or any other specific institution. It's important to note that course offerings and syllabi tend to change frequently. Universities often revise their curriculum to stay current with the industry trends and meet the educational standards set by accreditation bodies. However I can give you an overview of what a typical BCA in Data Analytics program might include. Generally this program aims to provide students with both knowledge and practical skills, in computer applications focusing specifically on data analytics. Here is a general outline of the subjects and areas that may be covered; In the year students will learn the basics of programming languages like Python or Java. They will also study concepts in mathematics for computer science, including discrete mathematics, calculus and statistics. Additionally they'll gain knowledge in computer fundamentals and office automation covering computer hardware, software essentials and used office productivity tools. Understanding the principles of data analytics will be introduced well focusing on data collection cleaning techniques and basic analysis methods. Database management systems will also be taught to students to familiarize them with database fundamentals such as SQL and data modeling. Moving on to the year of studies students will delve into advanced programming concepts that go beyond the basics. This may include exploring data structures and algorithms in detail. The course on operating systems will cover architecture and functionalities of operating systems. Web technologies will be introduced to provide a foundation in web development using HTML, CSS and JavaScript. Data visualization techniques and tools for analyzing data through representation will also be covered extensively during this year. Moreover advanced statistical methods and probability theories relevant to data analytics will be explored. In the year of the curriculum students will dive into machine learning algorithms and their applications within data analytics. They'll gain insights into data analytics concepts such as Hadoop and Spark for processing large datasets effectively. Techniques for discovering patterns and extracting knowledge from amounts of information through data mining methodologies will also be taught during this period. As part of their project requirement – a capstone project – students must apply their acquired knowledge and skills to solve real world problems related to data analytics. Additionally offered are courses that focus on specialized topics within data analytics such as natural language processing (NLP) artificial intelligence (AI) cloud computing or blockchain technology. Please note that this paraphrased text is adapted from a framework; therefore there might be variations, in specific courses or structure depending on different educational institutions. To get the precise and current information I suggest checking out Era University.