Introduction to Statistics & Data Analysis in Public Health
Learn essential statistical concepts and R programming skills for analyzing public health data effectively.
Learn essential statistical concepts and R programming skills for analyzing public health data effectively.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Statistical Analysis with R for Public Health Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Master fundamental statistical concepts for public health
Use R for data analysis and visualization
Formulate and test research hypotheses
Interpret statistical results accurately
Apply sampling methods in public health research
Skills you'll gain
This course includes:
1.6 Hours PreRecorded video
14 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces fundamental statistical concepts and data analysis techniques essential for public health research. Students learn to use R software for analyzing public health data, covering topics from basic descriptive statistics to hypothesis testing. The curriculum emphasizes practical applications, critical thinking, and interpretation of statistical results in public health contexts.
Introduction to Statistics in Public Health
Module 1 · 3 Hours to complete
Types of Variables, Common Distributions and Sampling
Module 2 · 3 Hours to complete
Introduction to R and RStudio
Module 3 · 3 Hours to complete
Hypothesis Testing in R
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Expert in Medical Statistics and Healthcare Quality
Prof. Alex Bottle is a Professor in Medical Statistics and co-director of the Dr Foster Unit at Imperial College London. His research is centered on measuring and understanding variations in healthcare quality and safety through the use of large databases. In addition to his research, Prof. Bottle teaches across various undergraduate and postgraduate programs, supervises and examines PhD students in fields such as surgery, cardiovascular risk, and digital health, and provides statistical training to the UK public sector.
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4.7 course rating
1,452 ratings
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