Sale Date Ended
Sale Date Ended
Sale Date Ended
Course Duration: 80 Hours
Course Evaluation: Module wise quizzes and a projects
Course Objective: This course aims to provide solid understanding of data science theory and applications in business. Focus will be on the underlying scientific concepts while also accounting for recent progress made by the scientific and technical community in the field of data science. The course will draw examples from various case studies and thus emphasis will be on application. Associate shall get a hands-on experience in the application of these techniques for addressing practical problems from retail domain.
Instructor's Bio:
The course will be conducted by an Assistant Professor at IIT Kharagpur. His teaching interests include non-linear programming, multivariate statistical models, generalized linear models, machine learning and data analytics. He has offered various courses, lectures and workshops on applied machine learning and data analytics at IIT Kharagpur and other premier institute.
Course Content
Module A: Basics (20 Hours)
A.1 Probability and Statistics basics
A.2 Matrix Algebra and Random Vectors basics
A.3 Multivariable Calculus and optimization basics
i. Derivative-free: Dichotomous, Fibonacci, Golden selection
ii. Derivative based: Steepest Descent, Gradient descent, Newton’s method
iii. Random Search: Genetic Algorithm
A.4 Python Programming basics
Module B: Learning Concepts (10 Hours)
Module C: Statistical Learning Models (20 Hours)
Module D: Machine Learning Models (30 Hours)
Course fees can also be paid by account transfer