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Inferential Statistics - Duke University
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Inferential Statistics - Duke University

This course is part of Data Analysis with R Specialization.

Course Cost

Free course

Beginner

Skill Level

15 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analysis with R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.8

1,18,653 Enrolled

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English

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olive-leaves-logo

4.8

1,18,653 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand and apply statistical inference methods

  • Perform hypothesis testing with confidence

  • Use R for statistical analysis

  • Interpret and report statistical results

  • Work with numerical and categorical data

Skills you'll gain

Statistical Inference
Hypothesis Testing
R Programming
Data Analysis
Confidence Intervals
Statistical Methods
Central Limit Theorem
ANOVA
Chi-Square Tests
Probability Theory

This course includes:

5.4 Hours PreRecorded video

12 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course covers key statistical inference methods for both numerical and categorical data. Students learn to perform hypothesis tests, interpret p-values, and report results effectively. The curriculum includes practical application using R and RStudio through hands-on lab exercises and projects, focusing on both theoretical understanding and real-world data analysis skills.

About the Specialization and the Course

Module 1 · 0 Hours to complete

Central Limit Theorem and Confidence Interval

Module 2 · 3 Hours to complete

Inference and Significance

Module 3 · 3 Hours to complete

Inference for Comparing Means

Module 4 · 3 Hours to complete

Inference for Proportions

Module 5 · 5 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Analysis with R Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Inferential Statistics - Duke University

Beginner

Skill Level

15 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.