[bioundgrd] Fwd: IAP noncredit offering - Software Tools for Business Analytics (useful for all regardless of major)

[Janice Chang]

Begin forwarded message:

From: Scott Alessandro <salessan at mit.edu<mailto:salessan at mit.edu>>
Subject: IAP noncredit offering - Software Tools for Business Analytics (useful for all regardless of major)
Date: January 18, 2017 at 10:53:03 AM EST

Software Tools for Business Analytics
January 23-24 and 26-27, 1-4 pm in E62-250
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.
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.
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. Bring your laptop to each session.
To register: http://tinyurl.com/hn2uf3d
Installation instructions and more information: http://tinyurl.com/zgznpw3
Questions?: Scott Alessandro, salessan at mit.edu<mailto:salessan at mit.edu>

Session 1 (Terminal and Github) – Monday, January 23, 1-4 pm, E62-250. Instructor: Brad Sturt
Description: In this session we will give an overview to working with the terminal, Github, and an introduction to the R programming language.

Session 2 (Basic Wrangling and Visualization) – Tuesday, January 24, 1-4 pm, E62-250. Instructor: Steven Morse
Description: 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.

Session 3 (Excel) – Thursday, January 26, 1-4 pm, E62-250. Instructor: Charles Thraves
Description: 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.

Session 4 (JuMP/Julia) – Friday, January 27, 1-4 pm, E51-085. Instructor: Joey Hutchette
Description: This 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.




Best,
Scott

_____________________________________________

Scott Alessandro | Director
Undergraduate Education
MIT Sloan School of Management
Building E52-150 (in Suite 133)
50 Memorial Drive, Cambridge, MA 02142
p: 617.253.6296  |  e: salessan at mit.edu<mailto:salessan at mit.edu>
Pronouns: he, him, his
mitsloan.mit.edu/undergrad<http://mitsloan.mit.edu/undergrad>

“I’m nothing without glitter” – Callie Alessandro (Age 9)


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