- Public Health
- Data Analysis
- R Programming
- Probability Distribution
- Statistics
- Data Import/Export
- Descriptive Statistics
- Statistical Inference
- R (Software)
- Statistical Hypothesis Testing
- Data Literacy
- Analytical Skills
Introduction to Statistics & Data Analysis in Public Health
Completed by Samuel Kwame Sopuruchi Agomuo
December 3, 2023
15 hours (approximately)
Samuel Kwame Sopuruchi Agomuo'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
