Share Description
In this course, you will :
- Learn the fundamentals of statistical inference so that you can understand and compute p-values and confidence intervals while analysing data in R.
- R programming problem sets will be used to assess understanding and ability to implement basic data analyses.
- will employ visualisation techniques to investigate new data sets and determine the best approach.
- When data does not fit the assumptions required by standard approaches, describe robust statistical techniques as alternatives.
- You will learn the fundamentals of conducting reproducible research by analysing data with R scripts.
Syllabus :
- Random variables
- Distributions
- Inference: p-values and confidence intervals
- Exploratory Data Analysis
- Non-parametric statistics
