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=='''Analytics Practicum (ANLY482)''' ==
 
 
 
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[[Main_Page| <font color="#FFFFFF">About</font>]]
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Welcome to Analytics Practicum (ANLY482) for the Analytics 2nd Program at SMU!
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'''<font size = 5>Welcome to ANLY482 Analytics Practicum</font>
  
Analytics 2nd Major is a university wide 2nd Major which is managed by SIS, working together with undergraduate programs from other schools in SMU. Students from any of the 6 schools can opt into this 2nd Major starting this academic year.
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The Analytics Practicum course allow students to go deeper into their chosen track or explore other opportunities that are not closely related to their chosen track. It is mandatory for students to complete the Analytics Practicum course before they graduate with the undergraduate second major degree.
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In recent years, there is an increasing use of data analytics to discover business issues and to drive business strategy throughout organizations. This has created a parallel rising demand for business graduates, who understand how to use data analytics, to solve business issues.  To prepare students taking Analytics Second Major to cope with this demand, this course provides students the practical experience on how to apply the analytics techniques and tools that they have learned in class to help companies solve real world challenges.
  
=='''Course Information''' ==
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'''IMPORTANT:''' ANLY482 Analytics Practicum is a compulsory module for students who are taking the [http://sis.smu.edu.sg/2nd-majors-analytics Analytics Second Major program].
  
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<b>Analytics Foundation</b> 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.
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Students taking this course are required to form a team of three members.  They will work closely with their industry sponsor to identify the business problem, to compile the necessary data, to transform the data into analytics data mart, to perform the analysis by using appropriate analytics techniques and tool(s) and to present their findings to the stake-holder of the project sponsor organisation.  Last but not least, the students are required to document the lesson learned through working on the project in the form of practice research paper and present their paper in the Undergraduate Conference of Data Analytics.
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For more information please read the [http://sisapps.smu.edu.sg/CDDR/Courses.aspx?P=104&C=1426&CT=(ANLY482)%20Analytics%20Practicum Course Design Document]<br/>
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Latest revision as of 16:50, 12 March 2018

About

Current Practicums

Past Practicums

Grading & Deliverables

Downloads & FAQ

 

Welcome to ANLY482 Analytics Practicum

Overview

In recent years, there is an increasing use of data analytics to discover business issues and to drive business strategy throughout organizations. This has created a parallel rising demand for business graduates, who understand how to use data analytics, to solve business issues. To prepare students taking Analytics Second Major to cope with this demand, this course provides students the practical experience on how to apply the analytics techniques and tools that they have learned in class to help companies solve real world challenges.

IMPORTANT: ANLY482 Analytics Practicum is a compulsory module for students who are taking the Analytics Second Major program.

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.

Scope of the Practicum

Students taking this course are required to form a team of three members. They will work closely with their industry sponsor to identify the business problem, to compile the necessary data, to transform the data into analytics data mart, to perform the analysis by using appropriate analytics techniques and tool(s) and to present their findings to the stake-holder of the project sponsor organisation. Last but not least, the students are required to document the lesson learned through working on the project in the form of practice research paper and present their paper in the Undergraduate Conference of Data Analytics.

For more information please read the Course Design Document