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Sampling in R

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5

(3)

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$12

$6

49% OFF

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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

Sampling is an important part of hypothesis testing. Sampling is essential in survey analysis and experimental design. This course will teach you how to conduct common sampling methods and why sampling is so important. This course covers simple random sampling up to more complex methods like stratified and cluster sampling. This course will teach you how to estimate the population and quantify uncertainty by using bootstrap or sampling distributions. This course will provide real-world data about employee attrition, Spotify songs and coffee ratings.

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

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Introduction to Statistics in R

What You Will Learn

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Master sampling to get more accurate statistics with less data

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This course explains when and why sampling is important, teaches you how to perform common types of sampling, from simple random sampling to more complex methods like stratified and cluster sampling

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Throughout the course, you'll explore real-world datasets on coffee ratings, Spotify songs, and employee attrition

Course Instructors

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Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

Visit Course

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