Introduction: Data science techniques and associated methods in Artificial intelligence and Machine learning have now at the forefront of revolution in various traditional fields. Consequently, increasing number of professionals in the field of scientific computing, software engineering and development, Business are looking to increase their understanding of the fundamental techniques and ideas driving this field. The current program aims to empower professionals to move to the forefront of this revolution.
Objectives:
Online
10 months
CODE & Pravartak-IITM
₹236000 (inclusive of tax)
120 hrs
Prof. Ganapathy Krishnamurthi is faculty in the Department of Engineering Design and associate faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras. Prof. Balaji Srinivasan is faculty in the Department of Mechanical Engineering and an associate faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras, pursuing research in the areas of fundamental Machine Learning and Deep Learning with focus on applications to science and engineering disciplines.
a) Overview of Course
b) Introduction to Data Science
i) Definition
ii) Application areas
iii) Past, Present and Future
c) The role of computation in Data science
d) The role of mathematics in Data science
a) Python
b) R
c) SQL
a) Probability and Statistics
b) Linear Algebra
c) Calculus and Optimization
a) Introduction to Machine Learning
b) Supervised Learning
c) Unsupervised Learning
d) Deep Learning
a) Business Intelligence
b) Business Analytics
c) Sectorial Analytics (Marketing/ Finance/ Operations/ Supply Chain/ HRM)
d) Computer Vision
e) Language Modeling
f) Applications in Engineering
g) Healthcare
h) Decision Making
i) Project ( In candidates own time - 30 hours)