
Overview
You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project.
Key facts
The Inferential Statistics course offered by Coursera in partnership with Duke University introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data.
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Visit university websiteProgramme Structure
Courses include:
- About the Specialization and the Course
- Central Limit Theorem and Confidence Interval
- Inference and Significance
- Inference for Comparing Means
- Inference for Proportions
- Data Analysis Project
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Mathematics Statistics View 49 other Short Courses in Mathematics in United StatesExplore more key information
Visit university 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.
Other requirements
General requirements
- Beginner Level
Make sure you meet all requirements
Visit university websiteTuition Fee
-
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.