Course Summary
This course is designed to teach students the fundamental concepts and methods of biostatistics, with a focus on the application of these methods in the field of public health.Key Learning Points
- Learn how to analyze and interpret data related to health and disease
- Understand the basic principles of probability and hypothesis testing
- Gain experience using statistical software to perform data analysis
Job Positions & Salaries of people who have taken this course might have
- USA: $75,000 - $115,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €30,000 - €45,000
- USA: $75,000 - $115,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €30,000 - €45,000
- USA: $60,000 - $110,000
- India: ₹3,00,000 - ₹12,00,000
- Spain: €25,000 - €40,000
- USA: $75,000 - $115,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €30,000 - €45,000
- USA: $60,000 - $110,000
- India: ₹3,00,000 - ₹12,00,000
- Spain: €25,000 - €40,000
- USA: $50,000 - $90,000
- India: ₹3,00,000 - ₹10,00,000
- Spain: €20,000 - €35,000
Related Topics for further study
Learning Outcomes
- Understand the basic principles of biostatistics
- Be able to analyze and interpret data related to health and disease
- Gain experience using statistical software to perform data analysis
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of algebra and calculus
- Familiarity with statistical software such as R or Stata
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
Similar Courses
- Introduction to Biostatistics
- Biostatistics for the Health Sciences
- Biostatistics in Public Health
Related Education Paths
Related Books
Description
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
Outline
- Introduction, Probability, Expectations, and Random Vectors
- Welcome to the Course
- Biostatistics and Experiments
- Set Notation and Probability
- Probability
- Random Variables
- PMFs and PDFs
- CDFs, Survival Functions, and Quantiles
- Expected Values
- Rules About Expected Values
- Variances and Chebyshev's Inequality
- Random Vectors and Independence
- Correlation
- Variance Properties and Sample Variance
- Syllabus
- Faculty
- Module 1 Homework
- Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors
- Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
- Conditional Probabilities and Densities
- Bayes' Rule and DLRs
- Likelihood
- Bernoulli Distribution and Binomial Trials
- The Normal Distribution
- Limits and LLN
- CLT and Confidence Intervals
- Module 2 Homework
- Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
- Confidence Intervals, Bootstrapping, and Plotting
- Confidence Intervals and CI for Normal Variance
- Student's t Distribution and CI for Normal Means
- Profile Likelihoods
- T Confidence Intervals
- Plotting
- The Jackknife
- Bootstrapping
- Module 3 Homework
- Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting
- Binomial Proportions and Logs
- Binomial Proportions Part A
- Binomial Proportions Part B
- Logs
- Module 4 Homework
- Module 4 Quiz: Binomial Proportions and Logs
Summary of User Reviews
The Biostatistics course on Coursera is highly rated by users. Many users found the course to be informative and easy to follow. One key aspect that many users thought was good was the clear explanation of statistical concepts.Pros from User Reviews
- Clear explanation of statistical concepts
- Great course material and resources
- Engaging and knowledgeable instructors
Cons from User Reviews
- Some users found the course to be too basic
- Limited interaction with instructors and peers
- Lack of hands-on exercises
- Occasional technical issues with the platform
Brian Caffo, PhD
4.5 Raiting
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