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The [[Analytics]] Practicum module (ANLY482) is a compulsory module for those who are taking the [[Analytics]] [http://sis.smu.edu.sg/2nd-majors-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.
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'''<font size = 5>Welcome to ANLY482 Analytics Practicum</font>
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d>Overview</font></div>
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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. 
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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].  
  
 
<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Prerequisites</font></div>
 
<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Prerequisites</font></div>
  
<b>Analytics Foundation</b> is a Pre-Requisite
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<b>Analytics Foundation</b> is a Pre-RequisiteIt 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.
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.
 
  
<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Objectives</font></div>
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d>Scope of the Practicum</font></div>
  
Through this course, students will:
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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.
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 [http://sisapps.smu.edu.sg/CDDR/Courses.aspx?P=104&C=1426&CT=(ANLY482)%20Analytics%20Practicum Course Design Document]<br/>
 
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/>
 
'''Welcome to the [[Analytics]] Practicum (ANLY482)!
 

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