Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Mathematical Biostatistics Boot Camp 2
This course is part of Advanced Statistics for Data Science Specialization
Instructor: Brian Caffo, PhD
20,898 already enrolled
Included with
(133 reviews)
Skills you'll gain
Details to know
Add to your LinkedIn profile
8 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.
What's included
12 videos1 reading2 assignments
In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!
What's included
8 videos2 assignments
In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.
What's included
7 videos2 assignments
This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical non-parametric methods.
What's included
16 videos2 assignments
Instructor
Offered by
Recommended if you're interested in Probability and Statistics
University of London
University of Glasgow
Imperial College London
University of Colorado Boulder
Why people choose Coursera for their career
Learner reviews
133 reviews
- 5 stars
54.13%
- 4 stars
26.31%
- 3 stars
14.28%
- 2 stars
1.50%
- 1 star
3.75%
Showing 3 of 133
Reviewed on Mar 12, 2022
The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.
Reviewed on Sep 7, 2018
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
Reviewed on Jul 27, 2018
Please, make a reboot of this course with some improvements in the material.
New to Probability and Statistics? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.