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Coursera / Johns Hopkins University - Data Analysis

Coursera / Johns Hopkins University - Data Analysis
English | H263, 960:540, 30fps | mp4a, 44100 Hz, stereo | 949 MB


This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.


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