Two new courses to be taught in Spring 2014

We will be teaching 2 new semester long courses in Spring 2014.

  • Business Intelligence, Analytics and Visualization  at Babson College: A semester long course for MBA graduate students 

BabsonLogo

Summary:

This course will examine the methods and challenges faced in turning data into insightful analytics in business. With data sizes significantly increasing in the last decade, extracting meaningful information to compete successfully is essential. You will accomplish this by learning techniques for data gathering, data analysis, and visualization as well as in discussion on companies currently trying to turn the information they gather into business opportunities. We will learn a variety of methods and software for finding patterns(such as regression, neural networks, association rules, CART, forecasting etc.), building models, and ultimately making decisions using large data sets. This is a hands-on course with in-class exercises and group projects to help students learn and apply data analysis techniques preparing them for the practical challenges analysts face in the real world.

  • Data Science and Analytics  at Northeastern University : A semester long course for graduate students in the  MS in Information Systems program at Northeastern University

neu-seal

Summary:

This case-study based course introduces various data science and analytical techniques. We will introduce various machine learning techniques and work with data sets to understand how these techniques can be applied to turn data into knowledge. Case studies from retail, energy, finance and marketing domains would be used to motivate the understanding of data science techniques.   This is a hands-on course with in-class exercises and group projects to help students learn and apply data analysis techniques preparing them for the practical challenges analysts face in the real world.

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>