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Coursera Statistics with R Specialization

Created/Published/Taught by:

Coursera

Duke University

Mine Çetinkaya-Rundel

David Banks

Colin Rundel

Merlise A Clyde

Content Found Via:

Coursera

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $264.00

Tags: data analysis / R / statistics

Difficulty Rating:

From Coursera:

“In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.

You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.”

This specialization consists of five courses to be taken in order. The courses are also available individually, except for the capstone, which requires passing the previous courses.

- Introduction to Probability and Data
- Inferential Statistics
- Linear Regression and Modeling
- Bayesian Statistics
- Statistics with R Capstone

Recommended Prerequisites: No prior experience required

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