Statistics with R 专项课程
Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.
来自STATISTICS WITH R的热门评论
It is a very nice course, I have learned a lot. However, it is convenient to take the previous one of the specialization, as they base some examples or R knowledge on it.
The course is VERY helpful, I used all the things I learned from the course in my daily study, I feel more confident and committed to finish the specialization!
Great course. Quite difficult though. I wished it was split to two course or maybe an entire specialization dedicated for this.
Nice course. Comparing this course with the second and fourth ones in the specialization, this is a rather light-weighted one.
Thanks for the excellent course. The whole "Statistics with R" specialization is a perfect introduction in statistics.
Yet another superb course in this specialization.\n\nBe ready to spend lots of time and learn lots of things.
Great, comprehensive way to utilise all of skills obtained during this specialization!
This is a great course for this specialization but don't expect much depth.
此课程是 100% 在线学习吗？是否需要现场参加课程？
What background knowledge is necessary?
Basic math, no programming experience required. A genuine interest in data analysis is a plus!
In the later courses in the Specialization, we assume knowledge and skills equivalent to those which would have been gained in the prior courses (for example: if you decide to take course four, Bayesian Statistics, without taking the prior three courses we assume you have knowledge of frequentist statistics and R equivalent to what is taught in the first three courses).
Do I need to take the courses in a specific order?
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
What if I already have a certificate from Data Analysis and Statistical Inference?
In this specialization, R is a requirement, and the labs have been enhanced and revised from the previous course. Success in the fourth course and the capstone project will depend heavily on successfully completing the first three courses in this specialization. Therefore, we require all students complete all courses to obtain the certificate.
Do I need specific software?
Yes. You will need R and RStudio. Both are free and publicly available. You will need administrator access to your computer to install this software.