BCA in Data Science at SAGE University Indore - Course, Fees, Admission, Seats, Syllabus

Based on my recent update in April 2023 it's important to note that the specific details of the BCA in Data Science program at SAGE University Indore might vary over time to keep up with the latest trends in the field. Nonetheless I can give you an overview of key topics typically covered in a Bachelor of Computer Applications (BCA) program with a specialization in Data Science. These topics lay the foundation and are usually included in the curriculum; **Introduction to Data Science**; This module focuses on grasping the fundamentals of data science, including its significance, life cycle and applications across industries. **Programming Fundamentals**; In this part of the program students learn programming languages for data science like Python and R. The emphasis is on understanding syntax, data structures and basic algorithms. **Mathematics for Data Science**; This segment covers mathematical concepts such as linear algebra, calculus and statistics. These concepts are essential for comprehending and developing data science algorithms. **Database Management Systems (DBMS)**; This module delves into the fundamentals of DBMS technologies. Please keep in mind that these topics serve as an outline and may be subject to change as, per curriculum updates. Firstly it is important to have an understanding of the principles behind database systems. This includes knowledge of SQL, which is used for data manipulation well as familiarity with NoSQL databases that are specifically designed for handling large amounts of data. Another crucial aspect is data analysis and visualization. This involves techniques such as exploratory data analysis and using tools like Matplotlib, Seaborn or Tableau to visually represent the data in order to gain insights from it. Machine learning is also a component. It encompasses algorithms such as supervised and unsupervised learning, decision trees, regression analysis, clustering and neural networks. Big data technologies play a role in the field of data science. It involves exploring technologies like Hadoop and Spark that are utilized for processing and analyzing datasets. Data mining techniques are essential for discovering patterns, anomalies and associations within large datasets. There are tools available for this purpose. Cloud computing has become increasingly relevant in the realm of data science. Understanding cloud platforms like AWS (Amazon Web Services) Azure (Microsoft) or Google Cloud is crucial since they provide storage, processing power and analytical capabilities in a cloud based environment. Ethics and data privacy considerations cannot be overlooked in the field of data science. Discussions around topics such as practices, compliance with regulations like GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) are vital. Lastly comes the capstone project – a project that allows students to apply their acquired knowledge and skills to solve real world problems within the realm of data science. Please keep in mind that course titles may vary slightly from institution to institution while maintaining focus, on these topics. To get the accurate and latest information I suggest visiting the official website of SAGE University Indore or reaching out to their admissions office directly.