Past Events

  • 2018 Feb 23

    Introduction to Stata (FULL)

    9:30am to 12:30pm

    Location: 

    K018, CGIS Knafel building, concourse level

    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.

    ... Read more about Introduction to Stata (FULL)

  • 2018 Feb 09

    Data Science Tools -- an overview (Feb 9th, 9:30 -- 12:30)

    9:30am to 12:30pm

    Location: 

    K018, CGIS Knafel building, concourse level

    What programming languages are popular for statistics and data science? What tools are useful for working with those languages? Should I learn R or Python, or stick with something easier like Stata? If you've asked yourself these or similar questions, this workshop is for you!

    ... Read more about Data Science Tools -- an overview (Feb 9th, 9:30 -- 12:30)

  • 2018 Jan 17

    DataFest 2018

    Wed - Thu, Jan 17 to Jan 18, 9:00am - 5:00pm

    Location: 

    CGIS South, 1730 Cambridge Street, Cambridge MA

    Please, join us for two exciting days of workshops on collecting, analyzing and storing data! Click https://projects.iq.harvard.edu/datafest2018/register to register!

    DataFest is a two-day workshop held during J-term and developed by data practitioners and researchers from across the university. Hosted by the Institute for Quantitative Social Science (IQSS), the purpose of the workshop...

    Read more about DataFest 2018
  • 2017 Oct 27

    Structured Data, Databases, and SQL

    9:30am to 12:00pm

    Location: 

    K018, CGIS Knafel building, concourse level

    Collecting, analyzing, and managing data is the bread-and-butter of any research project, and standard tools like Microsoft Excel are the go-to apps as they're omnipresent and easy to use. But these start to show their limitations when one needs to handle tens of thousands of rows or merge data from multiple sources. Using a relational database, such as SQLite, can meet this gap and is the logical next step for bigger data projects.

     This class will discuss the fundamentals of structured data, introduce you to using SQLite (a lightweight database available on all most computing platforms), and teach you the basics of querying and summarizing data with SQL. Meeting these objectives could open new opportunities for research and help you with your research data management goals.

     ... Read more about Structured Data, Databases, and SQL

  • 2017 Oct 20

    Version Control with Git

    1:00pm to 3:30pm

    Location: 

    K018, CGIS Knafel building, concourse level

    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 invaluable when working on larger projects. Even more so when collaborating in research groups.

    This hands-on workshop will take you through the steps of using Git via the GUI GitKraken 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.

    ... Read more about Version Control with Git

  • 2017 Oct 20

    Automating work with the Unix Shell

    9:30am to 12:00pm

    Location: 

    Automating work with the Unix Shell

     

    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 resources effectively.

    ... Read more about Automating work with the Unix Shell

  • 2017 Oct 13

    Introduction to Using APIs With Python

    1:00pm to 3:30pm

    Location: 

    K018, CGIS Knafel building, concourse level

    An application programming interface (API) is a tool that allows computers to communicate and share information. For social scientists, APIs can be useful for accessing data or services from firms, organizations, or government agencies. This workshop will introduce the use of APIs to obtain data from sources such as Survey Monkey, Twitter, or Data.gov. This workshop is intended for social scientists who are new to working with APIs, but have some familiarity with Python or have attended the Introduction to Python workshop.
    ... Read more about Introduction to Using APIs With Python

  • 2017 Oct 06

    Introduction to Python

    9:30am to 12:00pm

    Location: 

    1737 Cambridge St., CGIS Knafel Building, Room K018 (Concourse Level)

    This workshop introduces the basic elements of Python, a general purpose programming language commonly used for data cleaning, analysis, visualization, and other applications. Participants will learn how to use the language as well as how to set up a development environment for Python on their personal computer. This workshop is intended for social scientists who are new to programming. No experience is required.

    ... Read more about Introduction to Python

  • 2017 Sep 29

    R data management

    1:00pm to 3:30pm

    Location: 

    K018, CGIS Knafel building, concourse level
    Statistics courses usually use clean and well-behaved data for examples and homework. This leaves many unprepared for the messiness and chaos of data in the real world. This workshop aims to prepare you for dealing with messy data by walking you through real-life example.
    ... Read more about R data management

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