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Elena Moltchanova

Applied Statistical Data Analysis Using R professional certificate is directed at people with limited statistical background and no practical experience who have to do data analysis, as well as those who are “out of practice”. The course is practice orientated, aiming to give learners an understanding of why the method works, how to implement it using R, when to apply it and where to look if the particular method is not applicable in the specific situation.

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Applied Statistical Data Analysis Using R professional certificate is directed at people with limited statistical background and no practical experience who have to do data analysis, as well as those who are “out of practice”. The course is practice orientated, aiming to give learners an understanding of why the method works, how to implement it using R, when to apply it and where to look if the particular method is not applicable in the specific situation.

What you'll learn

  • Basics of statistical inference, confidence intervals and hypothesis testing. Commonly used tests. Pvalues, statistical and practical significance.
  • Analysis of Variance (ANOVA) and post-hoc tests. Diagnostics, implementation and interpretation using R.
  • Numerical Methods: The use of simulations, nonparametric bootstrap and permutation tests using R.
  • Linear Regression, Analysis of Variance with Covariates (ANCOVA), Generalised Linear Models (GLMs) and Mixed Effects Linear models using R.
  • Basics of power analysis (sample size evaluation) and some thoughts on experimental design.

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What's inside

Two courses

Basics of Statistical Inference and Modelling Using R

(0 hours)
Basics of Statistical Inference and Modelling Using R introduces statistical concepts, including sampling, hypothesis testing, and data analysis. Students will learn to apply these concepts using the R programming language.

Advanced Statistical Inference and Modelling Using R

(45 hours)
Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is for people familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

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