Author: mit-admin

Automating work with the Unix shell

October 20, 2017 9:30am - 12pm

  The Unix shell (command line) has been around longer than most of its users have been alive. It has survived so long because...

Data
“EarthArt” exhibit at Hayden Library

“EarthArt” exhibit at Hayden Library

This fall Hayden Library is hosting an interactive exhibit called “EarthArt” in partnership with the MIT Department of Earth, Atmosphere and Planetary Sciences (EAPS)....

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Data science tools: An overview

Data science tools: An overview

September 1, 2017 9:30am - 12pm

What programming languages are popular for statistics and data science? What tools are useful for working with those languages? Should I learn R or...

Social sciences

Regression Models in R

September 22, 2017 9:30am - 12pm

This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R. Topics covered include multiple regression,...

Data

Introduction to R Graphics with ggplot2

September 22, 2017 1 - 3:30pm

This introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R. Topics...

Data

Basic R Programming for Data Analysis

September 29, 2017 9:30am - 12pm

This hands-on, intermediate course will guide you through a variety of programming functions in the open-source statistical software program, R. It is intended for...

Data
Regression and Graphing in Stata

Regression and Graphing in Stata

September 8, 2017 1 - 3:30pm

This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, linear regression, factor...

Data
Introduction to Stata

Introduction to Stata

September 8, 2017 9:30am - 12pm

This class will provide a hands-on introduction to Stata. You will learn how to navigate Stata’s graphical user interface, import data, calculate descriptive statistics,...

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Introduction to R

September 15, 2017

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create...

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