关键信息
关于内容
Work with airline data to learn the fundamentals of the R platform.
We live in a data driven world. So how can we make the most of it? Have you ever wondered how data-driven decisions are made?
This course will use airline data to demonstrate key concepts involved in the analysis of big data. In this course you will learn how to use the R platform to manage data. The course serves as an introduction to the R software. It lays the foundation for anyone to begin studying data science and its applications, or to prepare learners to take more advanced courses related to data science, such as machine learning and computational statistics.
前提
This course is for anyone who is interested in discovering more about data. Beginners in using R are welcome. Prior experience is not required.
课程大纲
- 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
教师
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.
内容设计师
Purdue University is a world-renowned, public research university that advances discoveries in science, technology, engineering and math.
平台
FutureLearn est une plate-forme d'apprentissage proposant des formations en ligne ouvertes à tous (MOOC)
Fondée en Décembre 2012, la société est entièrement détenue par l'Open University à Milton Keynes, en Angleterre.
Elle est la 1ère plateforme offrant des MOOC au Royaume-Uni, avec à son actif plus d'une cinquantaine d'universités partenaires provenant du Royaume Uni mais aussi du reste du monde.
FutureLearn se différencie également par des partenariats avec des entités non-universitaires comme le British Museum, le British Council, la British Library et la national Film and Television School.
