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Monday, October 22 2018
6:30pm - 8:30pm

Introduction to Data Science with R

R is an open-source programming language for reading, transforming, analyzing and visualizing data. By the end of the three sessions, you will have a basic foundation for getting started with R. While R is used to perform sophisticated statistical analysis and visualizations, these are beyond the scope of these introductory sessions. The goal is to jumpstart by focusing on the building blocks when working with data in R. PREREQUISITES:Some knowledge of basic descriptive statistics (mean, median, mode, range) and visualizations (bar graph and line graph) is recommended. Need a refresher? Watch this short video on basic statistics ( prior knowledge of R is required. TECH REQUIREMENTS:Your laptop (Mac, Windows, Linux) and charger. Note: A netbook or tablet is NOT a substitute. An updated browser to access RStudio Cloud, a web version of R and RStudio. Please create a free account here ( To use R and RStudio locally on your computer, please install the latest release of R (version 3.5.0) and RStudio Desktop. Follow this step-by-step tutorial on how to install R and RStudio ( Since RStudio Cloud is a beta version, I recommend that you have a local installation as well. This course will cover: -Understanding basic data structures in R-Running R code interactively and via source files-Installing and loading packages-Exploring and subsetting a data set-Understanding data with descriptive statistics (mean, median, mode, range)-Visualizing data with basic graphs (bar chart, scatter plot, line graph)-Learning of resources for connecting with the strong R community and deepening your understanding of R and statistics Class dates: • Monday, October 22 - 6:30pm-8:30pm• Wednesday, October 24 - 6:30pm to 8:30pm• Monday, October 29 - 6:30pm to 8:30pm Your payment registers you for the entire series. Note: All attendees are expected to abide by the Girl Develop It Code of Conduct ( What to Bring: Please bring a laptop and charger. Note that if you are bringing a work laptop, make sure there are no issues with the firewall (this occasionally presents problems with wifi). TEACHER MAURA ORAY is a current MBA student at Brandeis University where she specializes in Data Analytics and Information Technology. Most recently she was a Data Science intern at Raytheon and will be joining the Data Science team when she graduates. Prior to school, she worked as a Webmaster and IT Manager at a non-profit. FINANCIAL NEED A limited number of scholarships are available for those with a financial hardship. To apply, click here ( Scholarship applicants will be notified shortly after the deadline. Class capacity does not impact scholarship students. Check out this info sheet ( about getting course fees covered by your employer. Interested in discovering classes like this, workshops, special events, giveaways, volunteer opportunities, and more? Sign up for our monthly newsletter! ( Please be advised that photographs may be taken at the event for internal use - e.g. internal GDI presentations. By attending this event, you consent that your photograph may be taken. If you have accessibility requirements/requests for accommodations, please provide us with at least 2 weeks notice so we have adequate time to meet your needs. Please send requests for accommodations to our leadership team at . REFUNDS We are not able to offer refunds unless the class is cancelled. Thank you to Upstatement for hosting this event!

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