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⇱ Mathematical Biostatistics Boot Camp 1 | Coursera

Mathematical Biostatistics Boot Camp 1

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Mathematical Biostatistics Boot Camp 1

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Gain insight into a topic and learn the fundamentals.
4.4

545 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.4

545 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
95%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Advanced Statistics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

You are about to undergo an intense and demanding immersion into the world of mathematical biostatistics. Over the next few weeks, you will learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and much more. Module 1 covers experiments, probability, variables, mass functions, density functions, cumulative distribution functions, expectations, variations, and vectors.

What's included

13 videos2 readings2 assignments

13 videos•Total 179 minutes
  • Welcome to the Course•1 minute
  • Biostatistics and Experiments•13 minutes
  • Set Notation and Probability•15 minutes
  • Probability•23 minutes
  • Random Variables•6 minutes
  • PMFs and PDFs•18 minutes
  • CDFs, Survival Functions, and Quantiles•12 minutes
  • Expected Values•13 minutes
  • Rules About Expected Values•10 minutes
  • Variances and Chebyshev's Inequality•19 minutes
  • Random Vectors and Independence•18 minutes
  • Correlation•11 minutes
  • Variance Properties and Sample Variance•22 minutes
2 readings•Total 20 minutes
  • Syllabus•10 minutes
  • Faculty•10 minutes
2 assignments•Total 60 minutes
  • Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors•30 minutes
  • Module 1 Homework•30 minutes

This module covers Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics. These are the most fundamental core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.

What's included

7 videos2 assignments

7 videos•Total 157 minutes
  • Conditional Probabilities and Densities•14 minutes
  • Bayes' Rule and DLRs•24 minutes
  • Likelihood•32 minutes
  • Bernoulli Distribution and Binomial Trials•16 minutes
  • The Normal Distribution•28 minutes
  • Limits and LLN•19 minutes
  • CLT and Confidence Intervals•24 minutes
2 assignments•Total 60 minutes
  • Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics•30 minutes
  • Module 2 Homework•30 minutes

This module covers Confidence Intervals, Bootstrapping, and Plotting. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.

What's included

7 videos2 assignments

7 videos•Total 121 minutes
  • Confidence Intervals and CI for Normal Variance•16 minutes
  • Student's t Distribution and CI for Normal Means•19 minutes
  • Profile Likelihoods•8 minutes
  • T Confidence Intervals•25 minutes
  • Plotting•23 minutes
  • The Jackknife•13 minutes
  • Bootstrapping•17 minutes
2 assignments•Total 60 minutes
  • Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting•30 minutes
  • Module 3 Homework•30 minutes

This module covers Binomial Proportions and Logs. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.

What's included

3 videos2 assignments

3 videos•Total 71 minutes
  • Binomial Proportions Part A•7 minutes
  • Binomial Proportions Part B•37 minutes
  • Logs•27 minutes
2 assignments•Total 60 minutes
  • Module 4 Quiz: Binomial Proportions and Logs•30 minutes
  • Module 4 Homework•30 minutes

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Instructor

Instructor ratings
4.4 (96 ratings)
Johns Hopkins University
30 Courses•1,718,383 learners

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EM
·

Reviewed on Sep 14, 2021

Not your average Coursera Course! Actually challenging. Brian Caffo's voice sounds a bit likw Sheldon Cooper!

MW
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Reviewed on Aug 21, 2025

just amazing - perfect! interesting, clear, undeststandable, a lot of additional useful tips and information, good atmosphere like vibes very good material and topics

MC
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Reviewed on Aug 30, 2017

The content is in-depth and the instructor is knowledgeable, but the quiz demands a quite wide knowledge base and does not provide feedback.

Frequently asked questions

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