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.

Skills you'll gain

Statistical Methods
Statistical Analysis
Statistical Programming
Probability Distribution
Sampling (Statistics)
Data Analysis
Statistical Inference
Statistical Hypothesis Testing
Software Installation
Statistics
Probability & Statistics
Statistical Reporting

Tools you'll learn

R (Software)
Statistical Software
R Programming

Programme Structure

Courses include:

Central Limit Theorem
Confidence Interval

Inference and Significance

Inference for Comparing Means

Inference for Proportions

Data Analysis Project

Key information

Duration

Part-time
- 14 days
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Self-paced

Campus Location

Mountain View, United States

Disciplines

Statistics View 109 other Short Courses in Statistics in United States

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Academic 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
This course is aimed at learners with a basic understanding of statistics who want to develop practical skills in inferential statistics, including hypothesis testing, interpreting results, and analyzing data using R.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
Out-of-State

Free
Domestic

Applies to you

In-State

Free

Additional Details

This short course is included with Coursera Plus subscription

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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Inferential Statistics Coursera

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