Feature | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies by Region |
Mode of Study | Full-time |
Institute Type | Private |
Year | Subjects |
---|---|
1st Year | Introduction to Programming, Mathematics for Computer Science, Fundamentals of Data Analytics, Database Management Systems, English and Communication Skills |
2nd Year | Advanced Programming, Data Structures and Algorithms, Operating Systems, Statistics for Data Science, Principles of Data Mining |
3rd Year | Machine Learning, Big Data Analytics, Data Visualization, Cloud Computing for Data Analytics, Project Work / Internship |
Module | Important Topics |
---|---|
Introduction to Data Analytics | Basics of Data Analytics, Data Types, Data Analytics Process |
Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms for Data Analysis |
Database Management | SQL, NoSQL, Data Warehousing, Data Mining |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Business Intelligence | BI Concepts, Tools, Applications in Decision Making |
Project Work | Real-world Data Analytics Project, Project Management for Data Analytics |