Introduction to Statistics & Data Analysis in Public Health
Completed by Masako Araki
September 16, 2019
15 hours (approximately)
Masako Araki'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
- Category: Statistical Inference
- Category: Descriptive Statistics
- Category: Statistics
- Category: Statistical Hypothesis Testing
- Category: Sampling (Statistics)
- Category: Data Analysis Software
- Category: Statistical Programming
- Category: Statistical Software
- Category: Data Literacy
- Category: Probability Distribution
- Category: Statistical Methods
- Category: Probability & Statistics
