The program aims to impart in-depth knowledge on the key concepts, technologies, and its applications in data science & business analytics, machine learning, visualization techniques and predictive modeling.
Program Highlights
Students will acquire theoretical knowledge and more hands-on skills in data science.
They will learn about data collection and classification, probability distribution, statistical inference, and more.
Students will learn to differentiate between the roles of a data engineer, data analyst, data scientist, and more.
Students will be taught different data analysis techniques.
Understand ethical considerations in data collection, analysis, and usage.
Course Content
Semester 1
English 101
Mathematics 101
Introduction to Computer Programming using Python
Introduction to Computer Programming using Python Lab
English Lab 101
Audit Course
Semester 2
English - 201
Mathematics - 201
Fundamentals of Computer Organization
Problem Solving Using C
Problem Solving Using C - Lab
English Lab - 201
Audit Course
Semester 3
Employbility Skills - 301
Operating System
Unix Shell Programming
Open Elective - I
Data Structures using C
Data Structures Lab
Audit Course
Semester 4
Employability Skills - 401
Software Engineering
Introduction to Web Programming
Database Management Systems
Open Elective - II
Web Technology and Database Management Systems - Lab
