Course Duration | Course Level | Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Not Specified | Full Time | Private |
Semester | Course Code | Course Name |
---|---|---|
1 | DS101 | Introduction to Data Science |
1 | CS102 | Programming Fundamentals |
2 | DS201 | Data Structures and Algorithms |
2 | MA202 | Mathematics for Data Science |
3 | DS301 | Database Management Systems |
3 | DS302 | Machine Learning |
4 | DS401 | Big Data Analytics |
4 | DS402 | Deep Learning |
5 | DS501 | Data Visualization |
5 | DS502 | Cloud Computing for Data Science |
6 | DS601 | Capstone Project |
6 | DS602 | Internship |
Module | Important Topics |
---|---|
Programming Foundations | Python Programming, Algorithms, Data Structures |
Mathematics for Data Science | Statistics, Probability, Linear Algebra, Calculus |
Data Management and Manipulation | SQL, NoSQL, Data Cleaning, Pandas |
Data Analysis and Visualization | Exploratory Data Analysis, Matplotlib, Seaborn |
Machine Learning | Supervised Learning, Unsupervised Learning, Scikit-learn |
Deep Learning | Neural Networks, TensorFlow, Keras |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Project and Case Studies | Real-world Projects, Industry Case Studies |