Our training 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 our courses 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:
We offer in-person and online training to individuals and organizations. Please send your training enquiries to: firstname.lastname@example.org
We are also developing self-paced online courses with our partner IBM Cognitive Class - stay tuned!
Our courses are a combination of theory and practice. We use slides to present theory and then we write code to solidify our knowledge.For more details regarding our standard, 2-day introduction to R for professionals, please see the course curriculum.
At the end of training 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: