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When & Where
Date: 
Tue, September 5, 2017 - 9:00 AM to 12:00 PM
Location: 
Barrows 356: Convening Room
Description
Type: 

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

The R Fundamentals workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, import, export, manipulate, and visualize data, and learn to write shorthand functions of your code. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Each of the four parts is divided into a lecture-style format interrupted by short breaks, challenge problems, and discussions. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. No prior experience or background knowledge is required.

Intermediate workshops teach data subsetting, reshaping, and visualization, creating markdown and interactive .HTML files, dimension reduction techniques, and function writing. Advanced workshops emphasize machine learning algorithm creation and implementation in the semi-canned ‘caret’, ‘SuperLearner’, and ‘H2O’ software libraries. Intermediate and advanced workshops require completion of R Fundamentals Parts 1 through 4 or equivalent knowledge.

R FUN!damentals Part 1: Introduction

Students will learn how to download, install, and navigate the R Studio environment. You will also learn how to store data, characteristics of basic data types and data structures, the importance of data frames (think Excel spreadsheets), and how to save your work.

Knowledge requirements: Programming FUN!damentals or equivalent prior knowledge

Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.

 

Details
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Interactive, hands-on
Participant Technology Requirement: 
Laptop required; please install R version 3.4 or greater in advance (arrive early if you need help). The RStudio Free Desktop IDE is recommended but not required.
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