SoDA Workshop Series - Introduction to Data Science with R (Workshop 1: Installing and Setting Up R & RStudio)

Workshop 1: Series overview and installing and setting up R and RStudio for optimal productivity.
When Aug 31, 2017
from 12:00 PM to 01:00 PM
Where B001 Sparks -- The Databasement
Contact Name
Contact Phone 814-267-2720
Attendees All interested members of the PSU community are welcome to attend.
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Social Data Analytics Workshop Series: Introduction to Data Science with R

Do you want to develop the skills to program and manage data using R? If so, this workshop series is for you! We will be meeting (almost) weekly for an hour throughout the semester to cover everything from basic R programming up through big data analytics and high performance computing. This workshop series will start with several weeks introducing R and basic R programming, so no prior experience is required (only a laptop). We will then move on to a series of workshops on reading in, cleaning, transforming, and combining multiple, complex datasets (including text and social network data) -- using our newfound R programming skills. Once we have the basics of data management down, we will cover web-based data collection, both from traditional web pages, and from the Twitter API. Finally, we will get into performance and scalability issues, and go over the steps for accessing the ICS cluster resources at Penn State. 

The meeting time for the workshop is subject to change, but current plans are for it to be offered most Thursdays from 12:00-1:00 in Sparks B001 (The DataBasement).

Workshop 1: Series overview and installing and setting up R and RStudio for optimal productivity.

Thursday, 8/31/1712:00-1:00, Sparks B001 (The DataBasement)  Bring laptop! Free!

This workshop series is sponsored by the Big Data Social Science IGERT. 

Materials (including slides, video tutorial, and pictorial tutorial) for Workshop 1 (Introduction and Installing and Setting up R and RStudio) are available on the workshop website:

Directions to the Databasement in Sparks can be found here