Course Name :
Executive Program in Business Analytics
Batch Freq :
A recent research conducted by Dept. of Higher Education, Colorado State University revealed that learning experiences significantly improves in classroom training method, especially for science and technology related subjects. Besides, classroom sessions are best suited for networking and interactions with the instructors.
Understand popular statistical and data mining tools such as Multiple Regression, Logistic Regression, Classification and Forecasting and where they can be applied.Be very comfortable with R and Python for Data Analytics Purposes. Work with, Understand and Explore real-life data to get a sense of which tools and techniques can be applied.Evaluate various models with a strong understanding of each model’s strengths and weaknesses Build, deploy and manage a complex machine learning model into production
R and Python Programming Knowledge32%
Data Engineering (i.e. ETL and Deployment)6%