23:24
Basics of ggplot (R, Tidyverse)
10:33
Getting started with Itempool
02:55
Math formatting in Itempool
15:00
The latent factor structure of developmental change in early childhood
01:40:38
Better Measurement with Item Response Theory
52:36
Session 2 on the basics of R and the Tidyverse
01:16:19
Session 1 on the basics of R and the Tidyverse
05:05
Data Science Scholars Video Application — Stanford
09:56
Introducing the purrrplus package (R Tidyverse)
08:34
Understanding group by (R Tidyverse)
05:52
Writing a function basics (R Tidyverse)
18:36
Stanford Educ 401B Stata - Class 3 - Activity Solutions
12:17
Stanford Educ 401A SPSS - Class 4 - Strings
02:29
Stanford Educ 401A SPSS - Class 4 - Quick explanation on strings
16:58
Stanford Educ 401B Stata - Class 3 - Reshaping and Regression
35:54
Stanford Educ 401B Stata - Class 2 - T-tests correlations merging etc.
40:36
Stanford Educ 401A Stata - Class 2 - t tests correlations merging etc
07:10
Introduction to Team Tidyverse (R Tidyverse)
07:05
How to go about learning (R Tidyverse)
09:28
Getting oriented in Rstudio (R Tidyverse)
24:35
Stanford Educ 401B Stata - Class 1 - Getting started and descriptives
07:20
Syllabus
03:27
Accessing the server
24:06
Stanford Educ 401A SPSS - Class 1 - Getting started and descriptives
07:48
Vectors, data frames, and lists (R Tidyverse)
08:40
Working directory (R Tidyverse)
09:29
Saving and reading data (R Tidyverse)
07:52
Map functions in purrr (R Tidyverse)
10:21
The 5 verbs of dplyr (R Tidyverse)
04:50
Understanding %＞% in R Tidyverse (the pipe)
08:23
Multiply monomials
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About
Learn data science. Short videos that show the essence of R and Python for data science.
The goal is to build enough understanding for you to be able to play around on your own -- where the real learning will happen!
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