- R (Software)
- Statistical Hypothesis Testing
- Sampling (Statistics)
- Data Import/Export
- Data Literacy
- Statistics
- Descriptive Statistics
- Statistical Inference
- Public Health
- R Programming
- Probability Distribution
- Data Analysis
Introduction to Statistics & Data Analysis in Public Health
Completed by Natalia SofÃa López Avella
February 14, 2021
15 hours (approximately)
Natalia SofÃa López Avella'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
