Inferential Statistics - Duke University
This course is part of Data Analysis with R Specialization.
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.
4.8
(2,670 ratings)
1,18,653 already enrolled
Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
Powered by
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
This course includes:
5.4 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
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
Instructor
Associate Professor of the Practice at Duke University
Dr. Mine Çetinkaya-Rundel is an Associate Professor of the Practice in the Department of Statistical Science at Duke University. She earned her Ph.D. in Statistics from the University of California, Los Angeles, and holds a B.S. in Actuarial Science from New York University's Stern School of Business. Dr. Çetinkaya-Rundel is dedicated to innovative statistics pedagogy, focusing on developing student-centered learning tools for introductory statistics courses. Her recent work emphasizes teaching computation at the introductory level with a strong commitment to reproducibility and addressing the gender gap in self-efficacy within STEM fields. Additionally, her research interests include spatial modeling of survey, public health, and environmental data. She is a co-author of OpenIntro Statistics and actively contributes to the OpenIntro project, which aims to create open-licensed educational materials that reduce barriers to education. Dr. Çetinkaya-Rundel also co-edits the Citizen Statistician blog and contributes to the "Taking a Chance in the Classroom" column in Chance Magazine.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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.