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*Data Science for Engineers*
*Short Course, June 7-9, 2017, Columbia University*
*More details here: * https://cvn.columbia.edu/cont
ent/data-science-engineers
Course Content and Structure
This short course introduces the participants to data science -- concepts,
tools, and techniques -- and its applications in chemical, petrochemical,
consumer care, pharmaceutical and allied engineering industries. This
course, through a case study approach, will provide an overview of how to
pose meaningful problems in such situations. In this course you will get
the tools and skills necessary to move from data sets to real problem
definitions and on to solutions; you'll also get the skills necessary to
work with data analytics tools. Going beyond coding, you'll get knowledge
of these tools and skills from the viewpoint of familiarization and
appreciation.

*Who Should Attend*

The course is targeted at management and mid-career individuals who are
generally called upon to either conceptualize or lead new data analytics
initiatives within their organizations. Engineers starting out in their
careers can also benefit from this course through a gentle introduction to
what is considered to be a field with immense potential for career
advancement.

*Faculty:*

Venkat Venkatasubramanian, Samuel Ruben-Peter G. Viele Professor of
Engineering, Columbia University

Garud Iyengar, Professor and Chair, Department of Industrial Engineering
and Operations Research, Columbia University

Raghu Rengaswamy, Professor Chemical Engineering, Indian Institute of
Technology - Madras, India
Shankar Narasimhan, M. S. Ananth Institute Chair Professor, Department of
Chemical Engineering, Indian Institute of Technology - Madras, India