Hands On Training

Inference for Numerical Data in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

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 Content

Expand all sections

Module 1: Bootstrapping for estimating a parameter

Module 2: Introducing the t-distribution

Module 3: Inference for difference in two parameters

Module 4: Comparing many means

Course Instructors

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

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