Description
A/B Testing in R, A/B Testing in R training course is published by Datacamp Academy. A/B testing is a common experimental design for human behavior research in industry and academia. A/B tests compare two variables to determine whether the measurements show different performance and whether the measurements differ in a meaningful way. By learning how to A/B test and present the results, you can make data-driven decisions and predictions.
In this lesson, you will learn what questions A/B tests answer, important points to follow in A/B tests, how to answer existing questions, and how to visualize data. You will also learn how to determine the sample size needed in an experiment, perform analyzes appropriate to the data and hypotheses available, determine whether the results can be considered with confidence, and interpret the results regardless of Provide statistical context to the audience. This course covers parametric and non-parametric A/B tests, such as t-test, Mann-Whitney U-test, Chi-Square independence test, Fisher’s exact test and Pearson and Spearman correlation. In addition, you will review the power analysis for each test
What you will learn
- Familiarity with A/B design
- Learn how to analyze A/B test data
- Prediction of outcomes based on data
- Present results to any audience with visualization
Specifications of the A/B Testing in R course
- Publisher: Datacamp
- teacher : Lauryn Burleigh
- English language
- Education level: all levels
- Number of courses: 4
- Training duration: 4 hours to complete the course
Chapters of the A/B Testing in R course
Course prerequisites
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
93 MB
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