Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 years | Undergraduate | INR 2,00,000 per year | Full-time | Private |
Course Module | Description |
---|---|
Introduction to Data Science | Overview of data science, its importance, and applications. |
Programming for Data Science | Programming languages like Python or R, essential for data manipulation and analysis. |
Mathematics for Data Science | Mathematical concepts including statistics, probability, and linear algebra. |
Data Structures and Algorithms | Understanding of data structures and algorithms to optimize data processing. |
Database Management Systems | Knowledge of database systems, SQL, and NoSQL databases for data storage and retrieval. |
Data Mining and Exploration | Techniques for discovering patterns and insights from large datasets. |
Machine Learning | Algorithms and models for making predictions or decisions based on data. |
Big Data Technologies | Tools and frameworks for processing and analyzing large datasets (e.g., Hadoop, Spark). |
Data Visualization | Techniques and tools for representing data visually (e.g., Tableau, Matplotlib). |
Capstone Project | Practical project to apply learned skills to a real-world data science problem. |