Statistical Analysis with R for Public Health
Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key data analysis methods through R
Statistical Analysis with R for Public Health
About this Specialization
Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.
WHAT YOU WILL LEARN
Recognize 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 the 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
Business
- U.S. Federal Taxation from the University of Illinois’ iMSA
- Strategizing: Management for Global Competitive Advantage from Macquarie University’s Global MBA
- U.S. Federal Taxation from the University of Illinois’ iMSA
- Strategizing: Management for Global Competitive Advantage from Macquarie University’s Global MBA
Data Science
Computer Science
- Introduction to FPGA Design for Embedded Systems from the University of Colorado Boulder’s Master of Science in Electrical Engineering
- Cloud Computing from the University of Illinois’ Master of Computer Science
- Introduction to Computer Science and Programming from the University of London’s Bachelor of Computer Science
- Data in Database from Arizona State University’s Master of Computer Science
