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

Based on my update in April 2023 it's important to note that different institutions may have varying course structures and syllabi for a Bachelor of Computer Applications (BCA) in Data Analytics program. Additionally these structures and syllabi might undergo changes over time. However if we consider a program like the one offered at Oriental University Indore or a similar institution there are key topics and areas of focus that BCA students specializing in Data Analytics are likely to encounter. Here is a list of subjects they may come across; 1. **Introduction to Data Analytics**; This topic encompasses the fundamentals of data analysis including an understanding of types of data analytics their processes and their significance in todays world. 2. **Programming Fundamentals**; It involves learning programming languages for data analysis such as Python and R. The focus will be on mastering syntax, data structures, control structures and basic algorithms. 3. **Database Management Systems (DBMS)**; This area covers the principles behind database systems along with SQL for data manipulation. It also includes NoSQL databases designed to handle data. 4. **Data Structures and Algorithms**; Here students will gain knowledge about ways to store, manage and process data using different data structures like arrays lists stacks queues graphs trees as well, as algorithms. 5. **Mathematics in Data Science**; The curriculum covers subjects such as linear algebra, calculus, statistics and probability. These topics are crucial for gaining an understanding of data analysis and its applications. 6. **Visualizing Data**; You will learn how to use various tools and libraries like Matplotlib, Seaborn, ggplot and Tableau to visualize and interpret data through graphs, charts and interactive dashboards. 7. **Introduction to Machine Learning**; This module provides an overview of machine learning concepts including learning, unsupervised learning, regression analysis, classification techniques, clustering methods and neural networks. 8. **Handling Big Data**; Gain insights into the technologies and frameworks like Hadoop and Spark used for processing and analyzing datasets that cannot be managed using traditional database systems. 9. **Exploring Data Mining**; Explore the techniques and tools employed in discovering patterns, associations, changes in trends or anomalies within datasets. Uncover information that can help drive decision making processes. 10. **Business. Analytics**; Discover how analytics can be leveraged in a business context to support decision making processes while enhancing planning and operational efficiency. 11. **Ethics & Privacy, in Data Analytics**; Understand the considerations surrounding data analytics while also delving into privacy concerns and the legal aspects associated with handling sensitive data. 12. **Capstone Project/Internship**; Students gain hands on experience by working on a project or interning where they can utilize their knowledge and skills to solve real world data analytics challenges. It is crucial for students to review the curriculum details provided by the institution.

The curriculum offered by Oriental University Indore includes subjects, like Big Data Analytics, Advanced Machine Learning, Data Mining and Project Work focused on Data Analytics. However it's important to note that the actual course content may vary. To gather the accurate and relevant information it is advisable to refer to the specific details provided by Oriental University Indore.