Introduction to Probability and Data with R

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Course Overview

What You'll Learn

  • This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.
  • You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference.
  • A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. 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 concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.

Course FAQs

Is this an accredited online course?

Accreditation for 'Introduction to Probability and Data with R' is determined by the provider, Duke University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.

How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Introduction to Probability and Data with R' on the Duke University online class platform, where you can complete your registration.