Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples.
This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective.
Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
Anyone and everyone is welcome to take this class. Proficiency in algebra is helpful but not necessary.
There are no suggested reading requirements for this course.
Every week will include two lectures and one lab. Lectures will cover theoretical concepts, whereas labs will present applied problems in R. In addition, your performance will be evaluated throughout the course with weekly assignments, as well as a midterm and final exam.
All you need is an internet connection!
No certificates, statements of accomplishment, or other credentials will be awarded in connection with this course.
No programming background is required. Everything you need to know will be covered in the course.
Yes, all labs and assignments will be designed to run in R.
R is available for Windows, Mac OS, and Ubuntu. Regardless of your operating system, you shouldn't have any problem with the material of this course. http://www.r-project.org
Although it can run with limited success on an iPhone/iPad, a user must jailbreak the device to do so which will invalidate any warranty. Read more.
All deadlines are based on EDT (Eastern Daylight Time).
Due to the number of students enrolled in the course (estimated to be approximately 100,000) the best way to ask more questions is to post your question on the discussion forums. The discussion forums will be activated on September 8th, two weeks prior to the start of the course.