- From www.futurelearn.com
Introduction to R for Data Science
- 4 Sequences
- Introductive Level
- Starts on February 24, 2019
- Ends on March 24, 2019
Course details
Syllabus
- Download, install, and use the R platform
- Import data into R and visualize data
- Use vectors and vectorized functions, including some of the tapply functions
- Manipulate data into desired formats, including cleaning and verifying data
- Predict business performance
- Make data-driven decisions about your industry
Prerequisite
This course is for anyone who is interested in discovering more about data. Beginners in using R are welcome. Prior experience is not required.
Instructors
Mark Daniel Ward
Mark is an Associate Professor, and Undergraduate Chair at Department of Statistics, Purdue University, and Associate Director for the NSF Center for Science of Information.
Yucong Zhang
I am a graduate student in the Department of Statistics at Purdue University. Currently, I am helping coordinate the course: Introduction to R for Data Science.
Editor
Purdue University is a public university located in West Lafayette, Tippecanoe County, Indiana, USA.
It was founded on 6 May 1869 and in 2012 had over 39,000 students. It is known as the "Cradle of Astronauts" for having trained twenty-two future astronauts, including Neil Armstrong and Eugene Cernan. Many of the CEOs of Forbes 500 companies also graduated from Purdue University.
Platform
FutureLearn is a massive open online course (MOOC) learning platform founded in December 2012.
It is a company launched and wholly owned by The Open University in Milton Keynes, England. It is the first UK-led massive open online course learning platform, and as of March 2015 included 54 UK and international University partners and unlike similar platforms includes four non-university partners: the British Museum, the British Council, the British Library and the National Film and Television School.