À propos de ce cours
4.5
218 ratings
52 reviews
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....
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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 3-5 hours/week

Approx. 18 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

StatisticsConfidence IntervalStatistical Hypothesis TestingBiostatistics
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 3-5 hours/week

Approx. 18 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
5 heures pour terminer

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 vidéos (Total 179 min), 2 lectures, 2 quiz
Video13 vidéos
Biostatistics and Experiments12 min
Set Notation and Probability14 min
Probability22 min
Random Variables6 min
PMFs and PDFs17 min
CDFs, Survival Functions, and Quantiles11 min
Expected Values12 min
Rules About Expected Values10 min
Variances and Chebyshev's Inequality18 min
Random Vectors and Independence17 min
Correlation10 min
Variance Properties and Sample Variance22 min
Reading2 lectures
Syllabus10 min
Faculty10 min
Quiz2 exercices pour s'entraîner
Module 1 Homework40 min
Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors40 min

2

Section
Clock
4 heures pour terminer

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 vidéos (Total 157 min), 2 quiz
Video7 vidéos
Bayes' Rule and DLRs23 min
Likelihood32 min
Bernoulli Distribution and Binomial Trials15 min
The Normal Distribution28 min
Limits and LLN18 min
CLT and Confidence Intervals23 min
Quiz2 exercices pour s'entraîner
Module 2 Homework26 min
Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics32 min

3

Section
Clock
3 heures pour terminer

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 vidéos (Total 121 min), 2 quiz
Video7 vidéos
Student's t Distribution and CI for Normal Means19 min
Profile Likelihoods8 min
T Confidence Intervals24 min
Plotting22 min
The Jackknife12 min
Bootstrapping17 min
Quiz2 exercices pour s'entraîner
Module 3 Homework20 min
Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting22 min

4

Section
Clock
2 heures pour terminer

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 vidéos (Total 71 min), 2 quiz
Video3 vidéos
Binomial Proportions Part B36 min
Logs27 min
Quiz2 exercices pour s'entraîner
Module 4 Homework10 min
Module 4 Quiz: Binomial Proportions and Logs10 min
4.5

Meilleurs avis

par 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.

par 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.

Enseignant

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

À propos de 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....

Foire Aux 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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