Statistical Analysis with R for Public Health Specialization

Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key data analysis methods through R

Instructors: Victoria Cornelius +1 more

What you'll learn

  •   Recognise the key components of statistical thinking in order to defend the critical role of statistics in modern public health research and practice
  •   Describe a given data set from scratch using descriptive statistics and graphical methods as a first step for more advanced analysis using R software
  •   Apply appropriate methods in order to formulate and examine statistical associations between variables within a data set in R
  •   Interpret the output from your analysis and appraise the role of chance and bias as explanations for your results

    • Skills you'll gain

  •   Statistics
  •   Biostatistics
  •   R Programming
  •   Descriptive Statistics
  •   Statistical Modeling
  •   Public Health
  •   Statistical Software
  •   Exploratory Data Analysis
  •   Statistical Analysis
  •   Statistical Hypothesis Testing
  •   Statistical Methods
  •   Regression Analysis

    • Specialization - 4 course series

    The emphasis will be on “learning through doing” and “learning through discovery” as you encounter typical data and analysis problems for you to solve and discuss among your fellow learners. You'll get the chance to work things out for yourself and with your peers before accessing the answers and explanation provided by the instructors.

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