Join us for R for Data Science, a comprehensive workshop series designed to introduce learners to the powerful world of R programming for data science. Whether you are new to R or looking to deepen your understanding, this series will provide the tools and knowledge you need to succeed.
1. Introduction to ASU Library Resources:
Discover the extensive resources available through the ASU Library catalog and the O'Reilly for Higher Education subscription. All ASU affiliates have access to a wealth of information, including thousands of eBooks, videos, and tutorials on R and data science.
2. Using R on ASU Supercomputers:
Gain hands-on experience using R on ASU's supercomputing resources. Learn how to leverage the power of high-performance computing to handle large datasets and perform complex analyses efficiently.
3. Learning Objectives and "R for Data Science" Summary:
This workshop series is based on the renowned "R for Data Science" text by Hadley Wickham and Garrett Grolemund. Over the course of 14 weeks, we will cover the following topics:
Data Import: Techniques for reading data into R from various sources.
Data Transformation: Manipulating and summarizing data using the dplyr package.
Tidy Data: Principles of tidy data and reshaping data with the tidyr package.
Data Visualization: Creating informative graphics using the ggplot2 package.
Exploratory Data Analysis: Initial analysis to understand data patterns.
Relational Data: Handling data from multiple sources with dplyr.
Strings and Factors: Working with text data using stringr and categorical data using forcats.
Dates and Times: Managing date-time data with lubridate.
Programming: Writing functions and iterative programming with purrr.
Modeling: Basics of statistical modeling and machine learning with modelr.
Communication: Sharing results through reports and presentations using R Markdown.
4. Non-Recorded Sessions:
Please note that this workshop series will not be recorded. Attendance and participation during the scheduled sessions are essential to fully benefit from the interactive and hands-on components of the workshops.
Embark on your data science journey and unlock the full potential of R programming. Whether you are a student, researcher, or professional, this workshop series will equip you with the skills to tackle real-world data challenges. Do not miss out on this opportunity to learn and grow with fellow data enthusiasts!
