The course is centered around everyone coding on their own computers as we progress through theory and examples. There are only two things that are essential to bring:
The programs used in the course support the following operating systems:
R is a free, open-source programming language that is designed primarily for data analysis, statistics, and graphics. The R language allows users to conduct sophisticated analysis and manipulations of data with often only a couple lines of code.For more information, checkout this page on the Microsoft R Open community.
If you use any type of data to make decisions, knowing R will empower you with a vast set of tools that will take your analysis and decision-making to another level. In addition to becoming more efficient, work done in R will be more reliable, scalable, reusable, and reproducible than work done in spreadsheets.The R language is free to download, and is becoming integrated with more and more products everyday. As the popularity of data science continues to surge, the benefits and value of knowing R will increase over time.
Due to R's growing popularity, many software providers offer R integrations. Here are some links to some popular R platforms and integrations:
The course is a combination of theory and practice. We use slides to present theory and then we write code to solidify our knowledge.For more details, please see the course curriculum.
At the end of this course you should be comfortable performing the following tasks:
The above items and the skills behind them represent the cornerstone of the R language. They also span the topics that people typically find the most difficult to self-learn. In short, you should feel confident using the R language to carry out analysis that is practical to your area of work.
Additionally, you will see examples (and receive example code) of the below categories:
Since it's impossible to teach everything about R in a single weekend, we provide "maps" that will help guide you in your next steps to learning more about: