This course is divided in to 4terms each focusing on specific area of data sciences, Machine Learning & Deep Learning Term-I is designed to deliver basics of Statistics and tools to be used in rest of the program like R, Python etc. Python is one of the most popular language for Data Science & Artificial Intelligence. This term provides students hands-on experience about the syntax and coding standard of both the primary languages.
Term II is designed to utilize statistical models on various tools, we have designed numerous case studies using Real-time data provide by our corporate partners for learning purpose. These cases help students to understand real world problems and how to solve them.
Remaining 2 terms is about application of ML & Deep Learning using python. Taught by industry experts from our partner companies, the focus during these 2 terms is to provide students hands-on learning of AI Applications and make them JOB ready. During this course students are going to deep dive into the open source artificial intelligence library of google TensorFlow.
At the end of this program the candidate will be able to perform on following tools and analysis
Applied Statistics on R & Python
Machine Learning & Deep Learning
Natural Language Processing
Fees - Annum
Subject List Per Semester
Note: Listed Subjects Could Be Change
Programming with R
Programming with Python
Relational Database Management System
Statistics for Analytics
Data Analytics Using Excel
Disaster Management & Communication Skill 1
Applied Statistics using R
Applied Statistics using Python
Machine Learning – I
Machine Learning – II
Communications Skills Level 2
Working with PowerBI
Computer Simulations and Analytics
Communication Skill Level 3 & Universal Human Values