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Inference for Numerical Data in R

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Course Report - Inference for Numerical Data in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course will show you how to use statistical methods for inferring and estimating numerical data. This course will cover two common methods to accomplish these tasks. To create confidence intervals, and tests based upon resamples, the first method uses bootstrapping. The second uses theoretical results and the t-distribution method to achieve the same result. Learn how to perform an ANOVA, create confidence intervals and conduct a t-test.

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Highlights

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Pedagogy

Top 10 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Foundations of Inference

What You Will Learn

In this course you'll learn techniques for performing statistical inference on numerical data

In this course, you'll learn how to use statistical techniques to make inferences and estimations using numerical data

You'll learn how (and when) to perform a t-test, create a confidence interval, and do an ANOVA!

Course Instructors

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Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

Mine is the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as a Professional Educator at RStudio. Her...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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