Online Course by Harvard University – Statistics and R program

Course description

This course explain you some introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

If you want to know what these two are, you can enroll for the free online course.

You will understand some basics statistical inference which is one of stepping stones for knowledge of some other program. You will be provided R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.




In order to make each student from different background learn best, the courses are divided the series into seven parts.

What are the main keys you will learn?

  • Random variables
  • Distributions
  • Inference: p-values and confidence intervals
  • Exploratory Data Analysis
  • Non-parametric statistics

Click here to join the course for free

 

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