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<span style="font-family:'Helvetica'; color:rgba(0, 0, 0, 1.0);"><b>From: </b></span><span style="font-family:'Helvetica';">Scott Alessandro <<a href="mailto:salessan@mit.edu">salessan@mit.edu</a>><br>
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<span style="font-family:'Helvetica'; color:rgba(0, 0, 0, 1.0);"><b>Subject: </b>
</span><span style="font-family:'Helvetica';"><b>IAP noncredit offering - Software Tools for Business Analytics (useful for all regardless of major)</b><br>
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<span style="font-family:'Helvetica'; color:rgba(0, 0, 0, 1.0);"><b>Date: </b></span><span style="font-family:'Helvetica';">January 18, 2017 at 10:53:03 AM EST<br>
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<b><u><span style="font-size: 18pt;">Software Tools for Business Analytics<o:p></o:p></span></u></b></div>
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<span style="font-size: 14pt;">January 23-24 and 26-27, 1-4 pm in E62-250<o:p></o:p></span></div>
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Because of the "big data revolution," there is an ever-increasing need for techniques for analyzing data, developing mathematical models, and using these models to make informed decisions. To get started in this process, one needs a working knowledge of business
analytic software tools.<o:p></o:p></div>
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The goal of these four non-credit workshops is to provide students with a baseline knowledge of business analytics software tools that they can use in MIT courses, UROPs involving data analysis, and summer internships or jobs after graduation. <o:p></o:p></div>
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Sign up is not required, but there is some pre-work that needs to be done (setting up your computer to use R and access Github). See link below for instructions.<span class="Apple-converted-space"> </span><u>Bring your laptop to each session.</u><o:p></o:p></div>
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To register:<span class="Apple-converted-space"> </span><a href="http://tinyurl.com/hn2uf3d" style="color: rgb(149, 79, 114); text-decoration: underline;">http://tinyurl.com/hn2uf3d</a><o:p></o:p></div>
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Installation instructions and more information:<span class="Apple-converted-space"> </span><span style="font-size: 9.5pt; font-family: Verdana, sans-serif; background-color: white;"><a href="http://tinyurl.com/zgznpw3" style="color: rgb(149, 79, 114); text-decoration: underline;">http://tinyurl.com/zgznpw3</a><b><o:p></o:p></b></span></div>
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Questions?: Scott Alessandro,<span class="Apple-converted-space"> </span><a href="mailto:salessan@mit.edu" style="color: rgb(149, 79, 114); text-decoration: underline;">salessan@mit.edu</a><o:p></o:p></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;"> </span></b></span></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 1 (Terminal and Github)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Monday, January 23, 1-4 pm, E62-250. Instructor: Brad Sturt<o:p></o:p></span></span></div>
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<span style="font-size: 11pt; font-family: Calibri, sans-serif;">Description: In this session we will give an overview to working with the terminal, Github, and an introduction to the R programming language.</span><o:p></o:p></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 2 (Basic Wrangling and Visualization)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Tuesday, January 24, 1-4 pm, E62-250. Instructor: Steven Morse</span><o:p></o:p></span></div>
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<span class="gmailmsg">Description:<span class="Apple-converted-space"> </span></span>This session will introduce basic techniques in data wrangling and visualization in R. Specifically, we will cover some basic tools using out-of-the-box R commands, then introduce
the powerful framework of the “tidyverse” (both in wrangling and visualizing data), and finally gain some understanding of the philosophy of this framework to set up deeper exploration of our data. Throughout, we will be using a publicly available dataset
of AirBnB listings.<o:p></o:p></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 3 (Excel)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Thursday, January 26, 1-4 pm, E62-250. Instructor: Charles Thraves<o:p></o:p></span></span></div>
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<span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Description:<span class="Apple-converted-space"> </span></span></span><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Introduce and practice with concrete
real life examples on how to use the most important functions and shortcuts in Excel. The goal is to enable students to face a wide variety of problems in an efficient way in Excel. Students will be given a problem with a series of tasks to accomplish. These
tasks will be solved using different Excel functionalities. Most of these problems have been based on real company spreadsheet problems.</span><o:p></o:p></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 4 (JuMP/Julia)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Friday, January 27, 1-4 pm, E51-085. Instructor: Joey Hutchette<o:p></o:p></span></span></div>
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<span class="gmailmsg">Description: This<span class="Apple-converted-space"> </span></span>session introduces optimization, where we will learn how to use mathematical models to solve decision problems. Using the Julia programming language and the JuMP package,
we will see how we can naturally model and solve optimization problems that arise in a variety of contexts throughout analytics and operations.<o:p></o:p></div>
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Best,<o:p></o:p></div>
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Scott<o:p></o:p></div>
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<span style="color: rgb(31, 73, 125);"> <o:p></o:p></span></div>
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<span style="font-size: 10pt; font-family: Arial, sans-serif; color: rgb(31, 73, 125);">_____________________________________________</span><span style="color: rgb(31, 73, 125);"><o:p></o:p></span></div>
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<span style="font-size: 12pt; font-family: 'Times New Roman', serif;"> </span></div>
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<b><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);">Scott Alessandro</span></b><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"> | Director</span><span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<i><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);">Undergraduate Education</span></i><span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<b><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(178, 26, 66);">MIT Sloan School of Management</span></b><span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);">Building E52-150 (in Suite 133)</span><span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);">50 Memorial Drive, Cambridge, MA 02142</span><span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);">p: 617.253.6296 | e: </span><a href="mailto:salessan@mit.edu" style="color: rgb(149, 79, 114); text-decoration: underline;"><span style="font-size: 9pt; font-family: Arial, sans-serif; color: blue;">salessan@mit.edu</span></a><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"><o:p></o:p></span></div>
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<i><span style="font-family: Cambria, serif;">Pronouns: he, him, his</span></i><span style="font-size: 9pt; font-family: Helvetica, sans-serif;"><o:p></o:p></span></div>
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<a href="http://mitsloan.mit.edu/undergrad" style="color: rgb(149, 79, 114); text-decoration: underline;"><span style="font-size: 9pt; font-family: Arial, sans-serif; color: blue;">mitsloan.mit.edu/undergrad</span></a><o:p></o:p></div>
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<span style="font-size: 12pt; font-family: 'Times New Roman', serif;"> </span></div>
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<i>“I’m nothing without glitter”</i><span class="Apple-converted-space"> </span>– Callie Alessandro (Age 9)</div>
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