All of the videos from the Computing from Data Analysis Coursera course are available on Youtube. If you are interested in learning R or just need a refresher on some of the topics, these videos could serve as a great resource.
- Week 1 installing R, data types, reading/writing files
- Week 2 functions, apply, sapply, other *apply functions
- Week 3 plotting, simulation, graphics, lattice
- Week 4 plotting, regular expressions, and date/time
Cosma Shalizi of the Statistics Department at Carnegie Mellon University is working on an Advanced Data Analysis from an Elementary Point of View textbook. A copy of the textbook will remain freely available on the website. Since the textbook is still being created, comments are welcome.
Data analysis is performed in many different fields and on many different types of data. Most fields call it something different. The following list comes straight from Jeff Leek’s Data Analysis Coursera class.
Name of Data Analysis by Data Type
The type of analysis is very similar for all fields, but what separates data science and machine learning from the others is the 3 V’s of big data. Data science and machine learning deal with a greater Volume of data, Variety of data, and Velocity (speed at which new data appears) of data. Because it is becoming cheaper and easier to store massive amounts of data than ever before, I think the other fields are beginning to realize the potential in big data. Signal processing is definitely becoming an area with big data, due to the fact that electrical sensors are everywhere.
What are your thoughts? Do you see any real differences in the data analysis performed for the data types above?
The Syracuse University iSchool will be hosting a free, open online Introduction to Data Science course. The course will be focused around Professor Jeff Stanton’s data science ebook. If you are interested, please hurry because the enrolment is limited to the first 500.
Hans Rosling does an excellent job of showing how “not boring” statistics can be. This is a great informative statistics video. It was originally posted at The Joy of Stats.
Yes, 2013 is the International Year of Statistics. Thus a video was made.
The Coursera Data Analysis course started yesterday. This course would be an excellent follow-up to the Computing with Data Analysis course. For a bit more about the course, check out this video explaining the content. The course consists of lectures, quizzes, and some data analysis assignments. There is still plenty of time to signup and start analyzing.