1 months
Duration
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Unknown
Start date

About

This Inferential Statistics offered by Coursera in partnership with Duke University is part of the Statistics with R Specialization.

Visit the official programme website for more information

Overview

This Inferential Statistics offered by Coursera in partnership with Duke University covers commonly used statistical inference methods for numerical and categorical data. 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. 

Education

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. 

The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data

Programme 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

More Details on Coursera Plus:

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Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner Level

Tuition Fee

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Visit official programme website

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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

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Inferential Statistics
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