Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Statistical Inference
This course is part of multiple programs.
Instructors: Brian Caffo, PhD
181,559 already enrolled
Included with 
(4,434 reviews)
What you'll learn
Understand the process of drawing conclusions about populations or scientific truths from data
Describe variability, distributions, limits, and confidence intervals
Use p-values, confidence intervals, and permutation tests
Make informed data analysis decisions
Skills you'll gain
Details to know
Add to your LinkedIn profile
4 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
This week, we'll focus on the fundamentals including probability, random variables, expectations and more.
What's included
10 videos11 readings1 assignment5 programming assignments
We're going to tackle variability, distributions, limits, and confidence intervals.
What's included
10 videos4 readings1 assignment3 programming assignments
We will be taking a look at intervals, testing, and pvalues in this lesson.
What's included
11 videos5 readings1 assignment3 programming assignments
We will begin looking into power, bootstrapping, and permutation tests.
What's included
9 videos4 readings1 assignment3 programming assignments1 peer review
Instructors
Offered by
Recommended if you're interested in Probability and Statistics
Duke University
Eindhoven University of Technology
Duke University
Duke University
Why people choose Coursera for their career
Learner reviews
Showing 3 of 4434
4,434 reviews
- 5 stars
57.62%
- 4 stars
23.02%
- 3 stars
10.01%
- 2 stars
4.57%
- 1 star
4.75%
New to Probability and Statistics? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ 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.