- R Programming
- Data Literacy
- Public Health
- R (Software)
- Statistics
- Statistical Inference
- Data Analysis
- Probability Distribution
- Sampling (Statistics)
- Descriptive Statistics
- Analytical Skills
- Data Import/Export
Introduction to Statistics & Data Analysis in Public Health
Completed by Javier San Millán Tejedor
April 5, 2020
15 hours (approximately)
Javier San Millán Tejedor'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
