Past Events

  • Sep 26

    R Programming

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    9:00am to 12:00pm

    This hands-on, intermediate R course will guide users through a variety of programming functions in the open-source statistical software program, R.  This workshop covers blocks, loops, program flow, functions,S3 classes and methods, and debugging in R. This workshop is intended for those already comfortable with using R for data analysis who wish to move on to writing their own functions. 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!

  • Sep 19

    Introduction to Numeric Data Resources

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    1:00pm to 2:00pm

    Introduction to Numeric Data Resources

    Learn strategies for locating numeric data for term papers, senior theses, dissertations, or other research purposes. Taught by a Data Librarian from the Harvard College Library Numeric Data Services, this course covers everything from quick look-up sources to micro-level datasets in the social sciences, including those found in the IQSS Dataverse Network. Undertake hands-on practice using Harvard e-resources in Economics, Government and Political Science, Sociology, and Health. Both sessions cover the same material

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

  • Jul 16

    Statistics and Graphs in R

    Location: 

    Rm K018, 1737 Cambride St (CGIS Knafel Building)
    1:00pm to 5:00pm

    This free workshop is available only to Harvard and MIT affiliates. Click here to register.

    This workshop offers a crash course on graphics and regression models in R. Topics covered include multiple regression, model comparison, mixed-effects models, and the construction of graphical displays using the ggplot2 package. This is an intermediate workshop appropriate for those already familiar with R.

    Workshop materials can be downloaded from http://j.mp/r-stats and http://j.mp/r-graphics

  • Jul 09

    Accelerated Introduction to R

    Location: 

    Rm K018, 1737 Cambride St (CGIS Knafel Building)
    1:00pm to 5:00pm

    This free workshop is available only to Harvard and MIT affiliates. Click here to register.

    This accelerated introduction will help you quickly get up to speed with the R statistical computing language. We will introduce the basics of the R language syntax, data import and management, package installation, and basic programming concepts including functions, classes and methods, iteration, and debugging. No prior R knowledge is required, but previous experience statistical or technical computing (e.g., Matlab, SAS, Stata, Python, and of course R) will be helpful.

    Workshop materials can be downloaded from http://j.mp/intro-r and http://j.mp/r-prog

  • Jan 23

    Mining Twitter Data

    (All day)

    Interested in using Twitter for academic research?  Using R and Python, we will learn how to use the Twitter API and other tools to gather tweets, social networks and other available data and investigate a framework for analyzing it.  Prerequisites: basic programming techniques (you can write a for loop).

  • Jan 22

    Introduction to Matlab for Behavioral Scientists

    (All day)


    In 
    this workshop, we will provide a hands-on introduction to Matlab, including basic programming concepts such as data structures, functions and loops, as well as applicationsof these concepts to presenting stimuli and reading in data from external tools such as Qualtrics.

  • Jan 16

    Introduction to R - ComputeFest 2013

    (All day)

    This is an INTRODUCTION to R. We assume no/very little knowledge of R!

    Learning objectives:

    • Install and load R packages
    • Find package and function documentation
    • Load external data into R
    • Create and query vectors, matrices, and data frames
    • Compute descriptive statistics and regression models
    • Construct basic graphical displays
  • Apr 13

    Introduction to Numeric Data Resources

    9:00am to 10:00am

    Learn strategies for locating numeric data for term papers, senior theses, dissertations, or other research purposes. Taught by a Data Librarian from the Harvard College Library Numeric Data Services, this course covers everything from quick look-up sources to micro-level datasets in the social sciences, including those found in the IQSS Dataverse Network. Undertake hands-on practice using Harvard e-resources in Economics, Government and Political Science, Sociology, and Health. Both sessions cover the same material.

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