About this Course
4.5
220 ratings
52 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 19 hours to complete

Suggested: 3-5 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

StatisticsConfidence IntervalStatistical Hypothesis TestingBiostatistics
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 19 hours to complete

Suggested: 3-5 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
5 hours to complete

Introduction, Probability, Expectations, and Random Vectors

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....
Reading
13 videos (Total 179 min), 2 readings, 2 quizzes
Video13 videos
Biostatistics and Experiments12m
Set Notation and Probability14m
Probability22m
Random Variables6m
PMFs and PDFs17m
CDFs, Survival Functions, and Quantiles11m
Expected Values12m
Rules About Expected Values10m
Variances and Chebyshev's Inequality18m
Random Vectors and Independence17m
Correlation10m
Variance Properties and Sample Variance22m
Reading2 readings
Syllabus10m
Faculty10m
Quiz2 practice exercises
Module 1 Homework40m
Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors40m
Week
2
Hours to complete
4 hours to complete

Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics

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. ...
Reading
7 videos (Total 157 min), 2 quizzes
Video7 videos
Bayes' Rule and DLRs23m
Likelihood32m
Bernoulli Distribution and Binomial Trials15m
The Normal Distribution28m
Limits and LLN18m
CLT and Confidence Intervals23m
Quiz2 practice exercises
Module 2 Homework26m
Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics32m
Week
3
Hours to complete
3 hours to complete

Confidence Intervals, Bootstrapping, and Plotting

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. ...
Reading
7 videos (Total 121 min), 2 quizzes
Video7 videos
Student's t Distribution and CI for Normal Means19m
Profile Likelihoods8m
T Confidence Intervals24m
Plotting22m
The Jackknife12m
Bootstrapping17m
Quiz2 practice exercises
Module 3 Homework20m
Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting22m
Week
4
Hours to complete
2 hours to complete

Binomial Proportions and Logs

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. ...
Reading
3 videos (Total 71 min), 2 quizzes
Video3 videos
Binomial Proportions Part B36m
Logs27m
Quiz2 practice exercises
Module 4 Homework10m
Module 4 Quiz: Binomial Proportions and Logs10m
4.5

Top Reviews

By DHJun 5th 2017

I knew a lot about probability before starting this course, but I didn't know much of anything about frequentist statistics. This course helped me understand some tricky concepts.

By PBJan 12th 2016

Very concise, well-presented course. This was my second time taking it as a refresher. Prof. Caffo does a great job presenting the materials. However, prepare to be challenged.

Instructor

Avatar

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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