New R course on Coursera: Data Analysis and Statistical Inference

September 2, 2014
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(This article was first published on DataCamp Blog » R, and kindly contributed to R-bloggers)

Yesterday (Monday 1st of September), a new session of Data Analysis and Statistical Inference, taught by Doctor Mine Çetinkaya-Rundel from Duke university, has started on Coursera. Just like with the previous run, all labs take place in DataCamp’s interactive learning environment.

Data Analysis and Statistical Inference will teach you how to make use of data in the face of uncertainty. Throughout the course, you will learn how to collect, analyze, and use data to make inferences and conclusions about real world phenomena. No formal background is required, but mathematical skills are definitely a plus.

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The course makes intensive use of R for its statistical computing; its corresponding interactive exercises, available on DataCamp, were developed in close collaboration with doctor Çetinkaya-Rundel. In sum, this course is perfectly tailored to your needs if you are a starting data scientist and you are looking to expand your basic statistical knowledge.

We hope to welcome you in our online classroom soon.

P.S. In case you prefer to complete the course self paced in your own time, we recommend you to have a look at the open intro course. Here you can find similar material that is also supplemented with the interactive exercises of DataCamp.

To leave a comment for the author, please follow the link and comment on his blog: DataCamp Blog » R.

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