- Data Analysis
- Data Import/Export
- Public Health
- Statistics
- R Programming
- Statistical Inference
- Sampling (Statistics)
- Data Literacy
- Probability Distribution
- Statistical Hypothesis Testing
- R (Software)
- Descriptive Statistics
Introduction to Statistics & Data Analysis in Public Health
Completed by Masayo Yamazaki
March 20, 2021
15 hours (approximately)
Masayo Yamazaki's account is verified. Coursera certifies their successful completion of Introduction to Statistics & Data Analysis in Public Health
What you will learn
Defend the critical role of statistics in modern public health research and practice
Describe a data set from scratch, including data item features and data quality issues, using descriptive statistics and graphical methods in R
Select and apply appropriate methods 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
Skills you will gain
