- Sampling (Statistics)
- Data Analysis
- Descriptive Statistics
- Probability Distribution
- Analytical Skills
- Statistical Software
- Statistical Hypothesis Testing
- Data Literacy
- Data Import/Export
- Public Health
- Statistics
- R Programming
Introduction to Statistics & Data Analysis in Public Health
Completed by OBASI DANIEL EBUBECHI
August 24, 2020
15 hours (approximately)
OBASI DANIEL EBUBECHI'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
