I have a unique opportunity coming up to impart an inside view of the Coursera MOOC platform. I’ve been asked to be a Community TA for the Computing for Data Analysis course that’s starting Monday, Sept. 23 and will run for 4 weeks. Here’s a video from Professor Roger Peng who’ll be teaching the course:
I took this class myself a while back to get a feel for the MOOC concept and found it to be an excellent experience. I especially remember the good help provided by the TA’s so I’m eager to give back by being a TA myself this time around. The course is about learning the fundamental computing skills necessary for effective data analysis. Students learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods. If you want to get your feet wet with R, this course is a great way to dive in the pool and have some fun.
Most Coursersa classes include a series of short videos (broken down into 8-10 minute segments) featuring in this case, Dr. Peng. You can watch the content at your own pace and as many times as you wish, although you’ll need to keep pace with the class in order to take the graded quizzes and complete the programming assignments on time. Much of the online education experience comes from participation in the discussion forums where you can converse with fellow students and TAs to ask questions and get help with the assignments. I found the online format a great, low-stress way to learn.
You can sign up for this free class here. The last time it was offered around 70,000 students signed up. It should be quite a ride!
NOTE: this class is listed as Data Science 102 in my pseudo degree program.
Daniel – Managing Editor, insideBigData