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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 2018 Offering: - 15.S41, Software Tools for Business Analytics</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 16, 2018 at 11:10:23 AM EST<br>
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<span style="color: rgb(31, 73, 125);">Hello All.<o:p></o:p></span></p>
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<span style="color: rgb(31, 73, 125);">Would you mind sending the below course announcement to students in your department. There are still seats available in this IAP course. Thanks!<o:p></o:p></span></p>
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<o:p> </o:p></p>
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<b><u><span style="font-size: 18pt;">15.S41: Software Tools for Business Analytics<o:p></o:p></span></u></b></div>
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<span style="font-size: 14pt;">January 22-26, 1-4 pm in E52-164<o:p></o:p></span></div>
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<span style="font-size: 14pt;">3 units, P/D/F grading<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></p>
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The goal of this course 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></p>
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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><span class="Apple-converted-space"> </span><span style="color: rgb(31, 73, 125);">.<span class="Apple-converted-space"> </span></span>Stellar
Site:<span class="Apple-converted-space"> </span><a href="http://stellar.mit.edu/S/course/15/ia18/15.S41/index.html" style="color: rgb(149, 79, 114); text-decoration: underline;">http://stellar.mit.edu/S/course/15/ia18/15.S41/index.html</a>.<o:p></o:p></p>
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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 22, 1-4 pm, E52-164<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 (Data 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 23, 1-4 pm, E52-164</span><o:p></o:p></span></div>
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<span class="gmailmsg">Description:<span class="Apple-converted-space"> </span></span>This session introduces basic techniques for data wrangling and visualization in R. Using contemporary best practices in statistical programming, we will explore a powerful
set of tools for efficiently preparing, analyzing, and visualizing complex data sets. Our working example is a set of publicly available data from AirBnB. By the end of the session, students will construct a simple business intelligence dashboard for informing
a realistic decision process. The session does not require previous experience with R. <o:p></o:p></div>
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<span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"> </span></span></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 3 (Introduction to Machine Learning)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Wednesday, January 24, 1-4 pm, E52-164<o:p></o:p></span></span></div>
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<span class="gmailmsg">Description:<span class="Apple-converted-space"> </span></span>This session introduces elementary methods for machine learning in R, focusing on the two classical supervised contexts of regression and classification. Building on our data
preparation techniques from Session 2, we execute a complete pipeline from “raw data,” to model training to model evaluation and communication. By the end of the session, students will creatively build and report on their own classification model. This session
requires the material from Session 2.<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>–
Thursday, January 25, 1-4 pm, E52-164<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 the programming language "Julia" and the "JuMP" library. Julia is a high-level, high-performance dynamic programming language for technical computing,
and JuMP is a library that allows us to easily formulate optimization problems and solve them using a variety of solvers. We will see how Julia and JuMP can be applied to solving real-world problems in operations and analytics.<o:p></o:p></div>
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<o:p> </o:p></div>
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<span class="gmailmsg"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;">Session 5 (Excel)</span></b></span><span class="gmailmsg"><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><span class="Apple-converted-space"> </span>–
Friday, January 26, 1-4 pm, E52-164<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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<o:p> </o:p></p>
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<span style="color: rgb(31, 73, 125);"> </span></div>
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<span style="color: rgb(31, 73, 125);">Best,<o:p></o:p></span></div>
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<span style="color: rgb(31, 73, 125);">Scott<o:p></o:p></span></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; color: rgb(31, 73, 125);"> </span></div>
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<span style="font-size: 12pt; font-family: 'Times New Roman', serif; color: rgb(31, 73, 125);"> </span></div>
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<a href="http://mitsloan.mit.edu/" target="_blank" style="color: rgb(149, 79, 114); text-decoration: underline;"><span style="font-size: 12pt; font-family: 'Times New Roman', serif; color: rgb(31, 73, 125); text-decoration: none;"><img apple-inline="yes" id="085EACC3-F40C-40E5-B358-67B8727D4241" height="52" width="92" apple-width="yes" apple-height="yes" src="cid:8C0432F3-D44A-48DC-BAAF-991CC937C9F0@mit.edu"></span></a><span style="font-size: 12pt; font-family: 'Times New Roman', serif; color: rgb(31, 73, 125);"><o:p></o:p></span></div>
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<b><span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(44, 60, 68);"> </span></b></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);">o: 617.253.6296 | c: 617-631-5619<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);">e: </span><span style="color: rgb(31, 73, 125);"><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;">salessan@mit.edu</span></a></span><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>
<div style="margin: 0in 0in 0.0001pt; line-height: normal; font-size: 11pt; font-family: Calibri, sans-serif;">
<span style="color: rgb(31, 73, 125);"><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;">mitsloan.mit.edu/undergrad</span></a><o:p></o:p></span></div>
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<span style="font-size: 9pt; font-family: Arial, sans-serif; color: rgb(31, 73, 125);"><a href="x-msg://1/mitsloan.mit.edu/about-mit-sloan/commitment-to-diversity/" style="color: rgb(149, 79, 114); text-decoration: underline;">MIT Sloan Commitment to Diversity</a><o:p></o:p></span></div>
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<span style="font-size: 12pt; font-family: 'Times New Roman', serif; color: rgb(31, 73, 125);"> </span></div>
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<i><span style="color: rgb(31, 73, 125);">“I’m nothing without glitter”</span></i><span style="color: rgb(31, 73, 125);"><span class="Apple-converted-space"> </span>– Callie Alessandro (Age 9)</span></div>
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