- Descriptive Statistics
- R (Software)
- R Programming
- Statistical Inference
- Sampling (Statistics)
- Data Import/Export
- Statistics
- Public Health
- Statistical Hypothesis Testing
- Data Analysis
- Probability Distribution
- Data Literacy
Introduction to Statistics & Data Analysis in Public Health
Completed by Subrata Biswas
December 16, 2020
15 hours (approximately)
Subrata Biswas'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
