Mathematical Biostatistics Boot Camp 1

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Mathematical Biostatistics Boot Camp 1

This course is part of Advanced Statistics for Data Science Specialization

Instructor: Brian Caffo, PhD

90,090 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

546 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

95%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

546 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

95%

Most learners liked this course

Skills you'll gain

Details to know

Shareable certificate

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Assessments

8 assignments

Taught in English

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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.

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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 videosTotal 179 minutes

Welcome to the Course1 minute
Biostatistics and Experiments13 minutes
Set Notation and Probability15 minutes
Probability23 minutes
Random Variables6 minutes
PMFs and PDFs18 minutes
CDFs, Survival Functions, and Quantiles12 minutes
Expected Values13 minutes
Rules About Expected Values10 minutes
Variances and Chebyshev's Inequality19 minutes
Random Vectors and Independence18 minutes
Correlation11 minutes
Variance Properties and Sample Variance22 minutes

2 readingsTotal 20 minutes

Syllabus10 minutes
Faculty10 minutes

2 assignmentsTotal 60 minutes

Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors30 minutes
Module 1 Homework30 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 videosTotal 157 minutes

Conditional Probabilities and Densities14 minutes
Bayes' Rule and DLRs24 minutes
Likelihood32 minutes
Bernoulli Distribution and Binomial Trials16 minutes
The Normal Distribution28 minutes
Limits and LLN19 minutes
CLT and Confidence Intervals24 minutes

2 assignmentsTotal 60 minutes

Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics30 minutes
Module 2 Homework30 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 videosTotal 121 minutes

Confidence Intervals and CI for Normal Variance16 minutes
Student's t Distribution and CI for Normal Means19 minutes
Profile Likelihoods8 minutes
T Confidence Intervals25 minutes
Plotting23 minutes
The Jackknife13 minutes
Bootstrapping17 minutes

2 assignmentsTotal 60 minutes

Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting30 minutes
Module 3 Homework30 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

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Instructor

Instructor ratings

(96 ratings)

Brian Caffo, PhD

Johns Hopkins University

30 Courses1,720,270 learners

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Johns Hopkins University

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Reviewed on Mar 27, 2018

I liked the course. Need good maths skills. Would prefer to have a review/HW after each lecture than at the end of each week.

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

Reviewed on Dec 15, 2020

The course interpreted many concepts in an interesting ways and solve many confusions I used to have. Great course!

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