Johns Hopkins University - Mathematical Biostatistics Boot Camp 1
- Offered byCoursera
- Public/Government Institute
Mathematical Biostatistics Boot Camp 1 at Coursera Overview
Duration | 13 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Mathematical Biostatistics Boot Camp 1 at Coursera Highlights
- Earn a certificate from the university of Johns Hopkins upon completion of course.
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Mathematical Biostatistics Boot Camp 1 at Coursera Course details
- 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.
Mathematical Biostatistics Boot Camp 1 at Coursera Curriculum
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
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