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Sampling in R

Intermediate
4.3+
44 reviews
Updated 12/2024
Master sampling to get more accurate statistics with less data.
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RProbability & Statistics4 hours15 videos51 exercises4,000 XP18,379Statement of Accomplishment

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Course Description

Sampling is a cornerstone of inference statistics and hypothesis testing. It's tremendously important in survey analysis and experimental design. 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. Later, the course covers estimating population statistics, and quantifying uncertainty in your estimates by generating sampling distributions and bootstrap distributions. Throughout the course, you'll explore real-world datasets on coffee ratings, Spotify songs, and employee attrition.

Prerequisites

Introduction to Statistics in R
1

Introduction to Sampling

Start Chapter
2

Sampling Methods

Start Chapter
3

Sampling Distributions

Start Chapter
4

Bootstrap Distributions

Start Chapter
Sampling in R
Course
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Don’t just take our word for it

*4.3
from 44 reviews
61%
18%
18%
0%
2%
  • Jamiahus W.
    29 days

    If was great. I wish there was a more detailed explanation of the difference between simple sampling and bootstrapping

  • Julie C.
    3 months

    I did find this course tricky but worthwhile. I'm considering going over it again to really get my head round the concepts behind sampling. This is no criticism of the course or the tutor which are both excellent but because I found the subject new and difficult. This is the beauty of these courses. You can go back over them as often as you need to.

  • Benjamin J.
    3 months

    of the 8 courses so far in the Data Analyst for R track, it was the best.

  • Thashalak A.
    7 months

    Good deliver as usual

  • Nurym S.
    about 1 year

    Insightful

"If was great. I wish there was a more detailed explanation of the difference between simple sampling and bootstrapping"

Jamiahus W.

"of the 8 courses so far in the Data Analyst for R track, it was the best."

Benjamin J.

"Good deliver as usual"

Thashalak A.

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