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By the end of this course students will be able to understand and appreciate the nuances involved in applying analytics in their area of specialization.
 
By the end of this course students will be able to understand and appreciate the nuances involved in applying analytics in their area of specialization.
  
For more information please read the course design document.
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For more information please read the [[Course Design Document]][http://sisapps.smu.edu.sg/CDDR/Courses.aspx?P=104&C=1425&CT=(ANLY104)%20Analytics%20Foundation]<br/>
[[File:Course Design Document|framed|Course Design Document]]
 
 
'''Welcome to the [[Analytics]] Practicum (ANLY482)!
 
'''Welcome to the [[Analytics]] Practicum (ANLY482)!

Revision as of 10:13, 30 June 2015

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About

Current Practicums

Past Practicums

Grading & Deliverables

Downloads & FAQ

 

The Analytics Practicum module (ANLY482) is a compulsory module for those who are taking the Analytics Second Major program. It involves a project that assess the students' ability to apply analytics in real-time events extensively. These projects come from both the academics and industry. Students can also get a good sense of how analytics are used in their field of study.

Prerequisites

Analytics Foundation is a Pre-Requisite It is recommended to take the Practicum course after completing 2 to 3 other analytics electives in order to make the most of the Practicum course. Each listed Analytics Practicum project, might have a list of additional recommended courses which are closely associated with the project area and will come in handy if you take up that project.

Objectives

Through this course, students will: Apply fundamentals of business analytics in solving a real world problem including the formulation of a business problem and developing a data driven approach to solve it. Students will also get an opportunity use industry tools for data exploration and apply analytical techniques to uncover insights on a dataset By the end of this course students will be able to understand and appreciate the nuances involved in applying analytics in their area of specialization.

For more information please read the Course Design Document[1]
Welcome to the Analytics Practicum (ANLY482)!