WSP 362 — Introduction to Programming in R (ICME Workshop)
Big data has changed the way we work, live, and play. Data science—developing and testing models and algorithms—helps us gain knowledge for ourselves and provide insights to others.
Introduction to Programming in R is one of ten workshops included in Fundamentals of Data Science, a series of one-day workshops offered by the Stanford Institute for Computational and Mathematical Engineering (ICME). Fundamentals of Data Science provides an introduction to multiple aspects of data science for those who are new to the field and those seeking to broaden their education and skills in data science. Students can sign up for one workshop, or several throughout the week. Students who complete four workshops will qualify for the Stanford ICME Fundamentals of Data Science Summer Workshops Certificate of Completion.
These workshops are not eligible for tuition discounts through Stanford Continuing Studies, but ICME offers discounts for eligible affiliates and partners. See below for details:
Stanford staff and full-time Stanford students: You may be eligible for a tuition discount if you register directly through ICME. The tuition for Stanford staff is $100 and the tuition for full-time Stanford students is $75. For more information and to register with these discounts, visit https://sto.stanfordtickets.org/icme2020/homepage.
ICME partners and affiliates qualify for a discount. If you think you qualify and have not received a discount code separately, email email@example.com. You will need to register through ICME's website.
Workshop: Introduction to Programming in R
Instructor: Andreas Santucci, Data Scientist, Google; Lecturer, ICME, Stanford
This workshop is recommended for those who want to learn the basics of R programming in statistics, science, or engineering. The goal of this workshop is to familiarize participants with R's tools for scientific computing and data analysis. Lectures will be interactive with a focus on learning by example, and assignments will be application-driven. Topics include basic data types in R, variables, and apply functions; data input/output; plotting in base R; and statistical applications such as how to get a summary of the data and how to do linear regressions.
Please note: Although the enrollment limit for this workshop is set to 30 Continuing Studies students, this course is designed for the entire Stanford community, and enrolled Continuing Studies students will be joined in the classroom by Stanford graduates and undergraduates. Students should expect a large class.