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Featured byCoursera - Johns Hopkins University
Overview
Key Features
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.
After taking this Statistical Inference course offered by Coursera in partnership with Johns Hopkins University, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
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Visit programme websiteProgramme Structure
Courses include:
- Probability & Expected Values
- Variability, Distribution, & Asymptotics
- Intervals, Testing, & Pvalues
- Power, Bootstrapping, & Permutation Tests
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Statistics Machine Learning View 85 other Short Courses in Statistics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
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Visit programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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