Interactive Reporting with Shiny and R Markdown (San Francisco, CA)
- Science & Technology
- MicroTek - San Francisco, San Francisco CA
RStudio is hosting our two day Introduction to Data Science with R course in New York City this May. This is a two-day workshop, designed to provide a comprehensive introduction to R. We'll get you programing and analyzing data with R in no time. All participants will receive a copy of all slides, exercises, data sets, and R scripts used in the course.
Course Instructor: Garrett Grolemund - RStudio Master Instructor
Discount pricing available for academics (33% off) and students (66% off). Space is limited, please contact us to confirm your eligibility.
This class will be a good fit for you if you are just starting with R or have dabbled in R, but wish to improve your skills. No prior experience with R or data science is required.
Practical skills for visualizing, transforming, and modeling data in R. During this two-day course, you will learn how to explore and understand data as well as how to do basic programming in R. A full list of topics for each day is below.
Be ready to learn. You need your laptop and the latest version of R. We also recommend downloading the RStudio IDE, as it provides a great learning environment for beginners as well as tools for when you transition into an advanced user.
Are you interested in better understanding your data, and not so interested in mastering a programming language? Have you tried learning R from a book or website, but have been discouraged? If so, this is the course for you. We assume that you've never programmed before (although some experience doesn't hurt), and we teach you the best tools to help analyze your data.
You won't be a master programmer by the end of this two-day course, but through immersion you will have learned the basics of R's syntax and grammar, and you'll have started building an effective R vocabulary for visualizing, transforming, and modeling data. You will learn how to load, save, and transform data as well as how to write functions, generate beautiful graphs, and fit basic statistical models to your data. We'll give you a theoretical framework to help you understand the process of data analysis, but our focus is on practical tools that you can use as soon as you get back from the course.
All techniques are motivated by real problems, and you'll be exposed to a number of real datasets throughout the course. We alternate brief lectures with hands-on practice: you'll get plenty of experience actually using R (not just hearing about it!), and there's plenty of help available if you get stuck. The course concludes with a 90-minute data analysis project. You can use this as an opportunity to start using R with your data, or work on answering some of our questions about a dataset.
This tried and true course has been taken by over 200 students, from biologists to humanists, many of whom had never programmed before. This course teaches the basic skills needed by anyone seriously interested in data.
Monday, May 13, 2013
An Introduction to R and data analysis - R is more than just a programming language. R is a statistical software application in its own right, an environment for interactive data analysis, and a community of passionate users. This orientation to the R language will help you get up and running.
Visualizing data - R's is well known for its beautiful graphics. R packages, like `ggplot2`, provide an expressive and logical language for building clear and effective data visualizations.
Working with data - R is a programming language with a purpose: to analyze data. Learning how R stores and handles data will help you apply R to any data source.
Manipulating data - R's methods for data manipulation make it easy and fast to extract information from data sets and to prepare raw data for analysis.
Tuesday, May 14, 2013
Programming in R - Many people use R as an application, a sort of statistical calculator, but R is also a programming language. Once you learn to program in R, you will be a more versatile and capable data analyst. You'll learn to write code that provides the precise solutions you are looking for.
R functions - Functions allow you to save your code for later or to share it with other R users. Knowing how to write a function will also streamline your workflow. Functions give code a more efficient structure that avoids duplication and aids debugging.
Simulation in R - Simulating data provides a way to test hypotheses and discover the uncertainty in your estimates.
Modeling in R - R excels at statistical analysis and modeling, but its methods for modeling may seem unintuitive at first.
In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, RStudio will refund all registration fees for those who signed up. RStudio is not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).
Until Apr 28, 2013 - Full refund, less 10% of registration fees
Apr 29, 2013 to May 05, 2013 - 50% refund of registration fees
May 06, 2013 and after - No refund available
All public workshops hosted by RStudio come with a no-questions-asked money-back guarantee.
RStudio is a company dedicated to providing software, education, and services for the R statistical computing environment. We started RStudio because we were excited and inspired by R. To learn more about us, visit our website at www.rstudio.com.