A free service to researchers in the Harvard community

To schedule a consultation or request help, please send a detailed description of your specific research problem, your affiliation (School / Dept.), and position (e.g., grad student) to help@iq.harvard.edu or use our contact form.

Our team of PhD data science specialists serves the Harvard social science community. We perform free in-person consulting on publication research issues as a part of the Institute for Quantitative Social Science. Our services are available to faculty, postdocs, graduate students, staff, and undergraduates writing a senior thesis. Specifically, we aim to provide advice on:

  • Data analysis and programming
  • Organization, secure storage, and sharing of data
  • Research project planning
  • Training in the use of both established software packages and emerging tools

Introduction to R

2016 Apr 15

Introduction to R

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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 R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Regression Models in R

2016 Feb 12

Regression Models in R

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R. Prerequisite: Basic familiarity with R, such acquired through an introductory R workshop.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Introduction to R Graphics with ggplot2

2016 Feb 19

Introduction to R Graphics with ggplot2

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

This introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R. Topics covered included aesthetic mapping and scales, faceting, and themes. This is an intermediate level workshop appropriate for those already familiar with R. Participants should be familiar with importing and saving data, data types (e.g., numeric, factor, character), and manipulating data.frames in R.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Basic R Programming for Data Analysis

2016 Apr 22

Basic R Programming for Data Analysis

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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 those already comfortable with using R for data analysis who wish to move on to writing their own functions. To the extent possible this workshop uses real-world examples. Concepts will be introduced as they are needed for a realistic analysis task. In the course of working through a realistic project we will lean about interacting with web services, regular expressions, iteration, functions, control flow and more.

Prerequisite: basic familiarity with R, such as acquired from an introductory R workshop.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Introduction to Stata

2016 Mar 25

Introduction to Stata

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

This class will provide a hands-on introduction to Stata. You will learn how to navigate Stata’s graphical user interface, create log files, and import data from a variety of software packages.  We will also share tips for getting started with Stata including the creation and organization of do-files, examining descriptive statistics, and managing data and value labels. This workshop is designed for individuals who have little or no experience using Stata software.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Data Management in Stata

2016 Apr 01

Data Management in Stata

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

This class will introduce common data management techniques in Stata.  Topics covered include basic data manipulation commands such as: recoding variables, creating new variables, working with missing data, and generating variables based on complex selection criteria.  Participants will be introduced to strategies for merging datasets (adding both variables and observations), and collapsing datasets. This workshop is intended for users who have an introductory level of knowledge of Stata software.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Regression and Graphing in Stata

2016 Apr 08

Regression and Graphing in Stata

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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 variables, and post-estimation graphs.  This is an introductory workshop appropriate for those with only basic familiarity with Stata. Prerequisite: a general familiarity with Stata (such as taking the Introduction to Stata workshop).

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Introduction to Python

2016 Apr 28

Introduction to Python

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

Have you always wanted to learn a programming language, but not sure how to get started? This workshop teaches the basic grammar of the python programming language, a powerful but easy to use tool for getting more out of your computer.  Little to no knowledge of python or programming is assumed.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Intermediate Python

2016 Apr 29

Intermediate Python

9:30am to 12:30pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

This course is a survey of advanced features of the python programming language that are relevant to data analysis.  This includes exposure to some of the most powerful features of python, such as functional and object-oriented programming.  In addition, we will learn how to use inspection to learn about the undocumented features of new modules and data structures.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!


Create Choropleth Maps in R

USA Choropleth maps are a means of visualizing spatial data by shading or patterning areas of a map in proportion to the values of a variable. This kind of map can provide insight into how a variable is distributed across a geographic area or the level of variability within a region. 

Read more