深受数千家公司学习者的喜爱
培训2人或更多？
试用DataCamp for Business课程描述
先决条件
Hypothesis Testing in R1
Introduction to Experimental Design
An introduction to key parts of experimental design plus some power and sample size calculations.
2
Basic Experiments
Explore the Lending Club dataset plus build and validate basic experiments, including an A/B test.
3
Randomized Complete and Balanced Incomplete Block Designs
Use the NHANES data to build a RCBD and BIBD experiment, including model validation and design tips to make sure the BIBD is valid.
4
Latin Squares, Graeco-Latin Squares, and Factorial Experiments
Evaluate the NYC SAT scores data and deal with its missing values, then evaluate Latin Square, Graeco-Latin Square, and Factorial experiments.
Experimental Design in R
课程完成 通过 DataCamp for Mobile 提升您的数据技能
随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。