COJohns Hopkins University · on Coursera
Statistical Inference
Intermediate 54 hours English Specialization
Our recommendation
Johns Hopkins' Statistical Inference course, part of its Data Science specialisation. It covers the core of statistical reasoning — probability, hypothesis testing, confidence intervals and Bayesian ideas. It is rigorous and mathematical, a strong foundation for serious data work rather than a gentle intro.
Skills you'll gain
StatisticsHypothesis testingConfidence intervalsProbabilityBayesian statisticsStatistical inference
Is this course right for you?
A good fit if you…
You want rigorous statistics
You are comfortable with maths
You are heading into data science
Consider something else if you…
You want a gentle intro
You are uncomfortable with maths
You want applied coding only
About this course
Part of the Johns Hopkins Data Science Specialization, this course covers statistical inference from first principles: probability theory, expected values and variance, common distributions, the central limit theorem, confidence intervals, hypothesis tests, and p-values.
What you'll learn
Calculate probabilities using common statistical distributions
Apply the central limit theorem to make inferences about populations
Construct and interpret confidence intervals correctly
Perform and interpret hypothesis tests including t-tests and chi-square tests
Recognize and avoid common statistical inference mistakes
This course includes
54h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Free to audit on Coursera; the certificate needs a subscription (about $49 a month), with financial aid available.
Comparison · LBS
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Is the certificate recognised?
Issued through Coursera with Johns Hopkins, part of its Data Science series. The understanding is the value.
Instructor
BC
Brian Caffo / Roger Peng
Coursera instructor
380K+ learners10 courses4.4 instructor rating
Taught by Brian Caffo, Johns Hopkins biostatistics professor and prolific Coursera instructor known for rigorous yet accessible statistical education.
About this provider
CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Frequently asked questions
Yes for a rigorous grounding in the statistics behind data science. It is more demanding than a gentle intro.
It is mathematical and rigorous, but well taught. Expect real effort.
You can audit it free on Coursera; the certificate needs a subscription, with financial aid available.
Yes. It is part of Johns Hopkins' Data Science specialisation.
Some comfort with statistics and maths. It is pitched at intermediate level.