Past Events

  • Statistics and Graphs in R

    Location: 

    Rm K018, 1737 Cambride St (CGIS Knafel Building)
    Jul 16, 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

  • Accelerated Introduction to R

    Location: 

    Rm K018, 1737 Cambride St (CGIS Knafel Building)
    Jul 09, 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

  • Introduction to Python

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    May 21, 9:30am to 12:30pm

    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.  Instructor: Kareem Carr

    To RSVP, email: support@help.hmdc.harvard.edu

  • R Programming

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    May 02, 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.

    Spring 2014 Schedule

    Fri, 02/28/2014: 9am-Noon
    Fri, 05/02/2014: 9am-Noon

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

  • Introduction to R Graphics with ggplot2

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Apr 25, 9:00am to 12:00pm

    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.

    Spring 2014 Schedule

    Fri, 02/21/2014: 9am-Noon
    Fri, 04/25/2014: 9am-Noon

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

  • R Regression Models

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Apr 18, 9:00am to 12:00pm

    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.

     

    Spring 2014 Schedule


    Fri, 02/14/2014
    Fri, 04/18/2014

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

  • Introduction to R

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Sorry, the event is fullApr 11, 9:00am to 12:00pm

    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.

    Spring 2014 Schedule

    Fri, 02/07/2014: 9am-12pm
    Fri, 04/11/2014: 9am-12pm

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

  • Regression and Graphing in Stata

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Apr 04, 9:00am to 1:00pm

    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).

    Spring 2014 Schedule

    Fri, 04/04/2014, 9:00--1:00

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

  • Data Management in Stata

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Mar 28, 9:00am to 12:00pm

    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.

    Spring 2014

    Fri, 03/28/2014: 9am-Noon

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

  • Introduction to Stata

    Location: 

    Rm K018, 1737 Cambridge St (CGIS Knafel Building)
    Mar 14, 9:00am to 12:00pm

    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.

    Spring 2014 Schedule:

    Fri, 03/14/2014: 9am-12pm 

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

Pages