New Open Course: Statistical Inference with swirl

July 14, 2016
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(This article was first published on DataCamp Blog, and kindly contributed to R-bloggers)

New Free Course: Statistical Inference with swirl

The DataCamp team is excited to announce another course using swirl. This free course adapts the Statistical Inference curriculum from swirl to the interactive DataCamp in-browser interface. Log-on and get started

This course begins with an introduction to probability, then moves on to expected values and variance. Exercises on confidence intervals highlight statistical testing procedures and exercises on power and sampling techniques finish off the course. This course is a unique opportunity to learn conceptual building blocks of data science while utilizing the interactive in-browser interface and the R syntax. Together with the team behind swirl, we want to make it fun and easy to learn R programming and data science.

DataCamp and Swirl Statistical Inference Course

The tutorial will show you how to:

  • Use theories of probability to solve problems.
  • Identify expected values and calculate variance.
  • Understand and execute statistical tests like a t-test and other hypothesis tests.
  • Calculate statistical power and approach sampling to control variance.

Get started today and sharpen your stats skills! Want to see other topics covered as well? Just let us know on Twitter.

Create your own course

Would you like to create your own course? With DataCamp Teach, you can easily create and host your own interactive tutorial for free. Use the same system DataCamp course creators use to develop their courses, and share your Python knowledge with the rest of the world.

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

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