Highlight | Details |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Rs 1,20,000 |
Mode of Study | Full-time |
Institute Type | Private |
Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
---|---|---|---|---|---|
Introduction to Programming | Object-Oriented Programming | Data Structures and Algorithms | Database Management Systems | Machine Learning | Big Data Analytics |
Mathematics for Data Science | Statistics for Data Science | Python Programming | Operating Systems | Deep Learning | Cloud Computing for Data Science |
Principles of Data Science | Linear Algebra | Web Technologies | Software Engineering | Natural Language Processing | Capstone Project |
English for Communication | Environmental Science | Database Systems | Artificial Intelligence | Data Visualization | Internship |
Course | Description |
---|---|
Introduction to Data Science | Overview of data science, its importance, and applications. |
Programming for Data Science | Programming languages like Python or R for data analysis. |
Statistics for Data Science | Statistical methods and probability theory essential for data analysis. |
Data Wrangling and Visualization | Techniques for data cleaning, manipulation, and visualization. |
Machine Learning | Introduction to machine learning algorithms and their applications. |
Big Data Technologies | Technologies and tools for handling and analyzing big data. |
Database Management Systems | Understanding of DBMS, data models, and SQL. |
Data Mining | Methods for discovering patterns and knowledge from large datasets. |
Deep Learning | Advanced machine learning techniques and neural networks. |
Capstone Project | Practical project to apply data science skills on real-world data. |