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business-analytics

The problems faced by decision makers in today’s business environments are extremely complex. Hence, the task of making good decisions is not easy. The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. The business application of statistical methods is the core focus of this course. In that sense, the course builds on the core course in the first year of the program. That basic course focused on the preliminaries of the area. This course highlights a business application and then demonstates an application of a statistical techique to solve that scenario and arrive at the best decisions and insights.

cirtificates

machine-learning-practice

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

machine-learning-techniques

Machine Learning Techniques

projects

ML Project

tools-in-data-science

This course will teach students to use popular tools for sourcing data, transforming it, building and optimizing models, communicating these as visual stories, and deploying them in production.