Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Science, Programming Fundamentals, Mathematics for Data Science, English Communication, Environmental Studies |
Semester 2 | Database Management Systems, Data Structures and Algorithms, Statistical Methods for Data Science, Professional Ethics, Indian Constitution |
Semester 3 | Machine Learning Basics, Big Data Analytics, Web Technologies, Operating Systems, Soft Skills Development |
Semester 4 | Advanced Machine Learning, Cloud Computing for Data Science, Data Visualization Techniques, Elective 1, Project Work 1 |
Semester 5 | Deep Learning, Data Security and Privacy, Elective 2, Elective 3, Project Work 2 |
Semester 6 | Industry Internship, Comprehensive Viva, Final Project |
Module | Important Topics |
---|---|
Introduction to Data Science | Basics of Data Science, Data Types, Data Life Cycle |
Programming for Data Science | Python/R Programming, Data Structures, Algorithms |
Mathematics for Data Science | Linear Algebra, Calculus, Statistics & Probability |
Data Management and Manipulation | SQL, NoSQL, Data Cleaning, Data Transformation |
Data Analysis and Visualization | Exploratory Data Analysis, Tableau, Matplotlib, Seaborn |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Deep Learning | Neural Networks, TensorFlow, Keras |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Project Work | Real-world Data Science Project, Capstone Project |