Information Technology
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Sampling in R

Course Cover

5

(3)

compare button icon

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

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.

blur
blur

Highlights

blur

Rating & Reviews

Top 30 Percentile

blur

Pedagogy

Top 30 Percentile

blur

Parameters

cv-icon

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.

cv-icon

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

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Statistics in R

What You Will Learn

Master sampling to get more accurate statistics with less data

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

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

Course Instructors

Author Image

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