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Statistical Analysis in R

Professional Certificate programs are series of courses designed by industry leaders and top universities to build and enhance critical professional skills needed to succeed in todays most in-demand fields.

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Statistical Analysis in R

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  • icon3 months at 5 - 10 hours per week
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  • iconOnline - Self Paced
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About Statistical Analysis in R

UCx's Statistical Analysis in R Professional Certificate

Basics of Statistical Inference and Modelling Using R

Advanced Statistical Inference and Modelling Using R

Job Outlook

What You Will 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..