Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

Johns Hopkins University

Statistical Inference

This course is part of multiple programs.

Brian Caffo, PhD
Roger D. Peng, PhD
Jeff Leek, PhD

Instructors: Brian Caffo, PhD

181,517 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.2

(4,434 reviews)

54 hours to complete
3 weeks at 18 hours a week
Flexible schedule
Learn at your own pace
91%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.2

(4,434 reviews)

54 hours to complete
3 weeks at 18 hours a week
Flexible schedule
Learn at your own pace
91%
Most learners liked this course

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • 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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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

Instructor ratings
4.3 (204 ratings)
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,633,811 learners

Offered by

Recommended if you're interested in Probability and Statistics

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 4434

4.2

4,434 reviews

  • 5 stars

    57.62%

  • 4 stars

    23.02%

  • 3 stars

    10.01%

  • 2 stars

    4.57%

  • 1 star

    4.75%

AP
5

Reviewed on Mar 21, 2017

MM
4

Reviewed on Sep 6, 2022

LH
5

Reviewed on Jan 30, 2016

New to Probability and Statistics? Start here.

Placeholder

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