Past Events

  • 2017 Apr 26

    Evening Session: Intro to R part II

    Registration Closed 6:00pm to 8:00pm

    Location: 

    Hawes Hall 203, HBS

    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.

    Topics for Part 2:

    • Working with and inspecting Data Frames
    • Filtering, Transforming, and Summarizing data using dplyr

     

    Note that this is a continuation from last week's

    Read more about Evening Session: Intro to R part II

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  • 2017 Apr 19

    Evening Session: Intro to R part I

    Registration Closed 6:00pm to 8:00pm

    Location: 

    Hawes Hall 203, HBS

    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.

    Topics for Part 1:

    • Introduction to the RStudio environment
    • Using variables, assignments, & functions to do analyses
    • Reading to/from files
    • Creating graphs and charts with basic R plotting
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  • 2017 Apr 12

    Brown Bag Session: A Gentle Introduction to Databases

    Registration Closed 12:00pm to 1:00pm

    Location: 

    Cumnock Hall 101B, HBS

    Heard about them? Not sure if they'd be useful in your work? Want to learn more about them? This seminar will outline the benefits and drawbacks of using databases, and demonstrate a few examples of how to obtain, sort, filter, and summarize data that takes a matter of seconds. Finally, we'll show how you can use databases in external programs, including Excel, R, Python, and Stata. 

    Registration: 

  • 2017 Apr 07

    Introduction to the Unix Shell

    9:30am to 12:30pm

    Location: 

    IQSS, 1737 Cambridge Street (CGIS Knafel Building), Room K018

    The Unix shell (command line) has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including “high-performance computing” supercomputers). These lessons will start you on a path towards using these

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  • 2017 Mar 31

    Version Control with Git

    9:30am to 12:30pm

    Location: 

    IQSS, 1737 Cambridge Street (CGIS Knafel Building), Room K018

    This hands-on workshop will take you through the steps of using git and Github, to track changes, revert to older versions, and share your files with other people. Ultimately, to keep you organized and reduce the clutter of files in your projects.

    Version control software allows you to save “versions” of files -- scripts, text files, web pages, data, etc. -- which show the changes that were made to the files over time, and allows you to backtrack if necessary and undo those changes. The ability alone – of being able to compare two versions or reverse changes, makes it fairly

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  • 2017 Mar 29

    Brown Bag Session: Just Enough Unix

    Registration Closed 12:00pm to 1:00pm

    Location: 

    Cotting House 107, HBS

    Find Unix tough to learn or confusing? Looking to learn enough to get your work done while making life less painful? Or do you secretly want to boast to your friends? This concise class will go through the basics of working with files & navigating directories, handling large numbers of files, customizing your environment to work more efficiently, and interacting with the HBS compute grid resources.

    Registration: 

  • 2017 Mar 24

    Regression and Graphing in Stata

    9:30am to 12:30pm

    Location: 

    IQSS, 1737 Cambridge Street (CGIS Knafel Building), Room K018

    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!

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  • 2017 Mar 10

    Introduction to Stata

    9:30am to 12:30pm

    Location: 

    IQSS, 1737 Cambridge Street (CGIS Knafel Building), Room K018

    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 and manage data and value labels. This workshop is designed for individuals who have little or no experience using Stata software.

    This workshop is being conducted in partnership with the Data Science Services group at IQSS. More details including workshop materials are available at 

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  • 2017 Mar 07

    Brown Bag Session: Amping Up Your Research with the (Compute) Grid

    Registration Closed 12:00pm to 1:00pm

    Location: 

    Cumnock Hall 101B, HBS

    This beyond-the-basics seminar is your ticket to working more efficiently and accelerating your work. Giving a gentle explanation of the integrated technologies of login, storage, and compute, we will explain how increasing job efficiency can help you get results back in a fraction of the time; how you can do more simultaneous work by understanding how much RAM & CPU your work really uses; and ways to speed up access to the files you need while working anywhere. 

    Registration: 

  • 2017 Mar 03

    Basic R Programming for Data Analysis

    9:30am to 12:30pm

    Location: 

    IQSS, 1737 Cambridge Street (CGIS Knafel Building), Room K018

    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.

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