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0:00:13
attribute changes
0:01:17
Introduction to Practical Data Science with R, 2nd Editon
0:08:17
Basic PyCharm (IDE for Python) Video Review
0:36:10
Estimating Rates using Probability Theory
0:23:28
Vectors for Programmers and Data Scientists (with R examples)
0:26:52
Vectors for Programmers and Data Scientists (with Python examples)
0:08:54
Data shaping with cdata
0:01:31
HB2
0:02:05
Using R and RStudio to try out Apache Spark
0:05:11
Hummingbird Bathing 2
0:01:21
Hummingbird Bath
0:06:14
Step-Debugging magrittr/dplyr Pipelines in R with wrapr and replyr
0:03:56
Using the wrapr R package to debug with RStudio
0:11:43
Parametric programming in R with replyr
0:04:13
More on using wrappers to debug in R
0:06:39
Debugging Magrittr Pipes in R and RStudio
0:03:51
RStudio Notebook demo
0:03:23
RNotebook quick demo
0:07:58
Debugging R code using R, RStudio and wrapper functions
0:01:41
Quiz
0:01:11
Short slide deck of references and follow-up ideas.
0:01:41
Quiz
0:19:58
Campaign Planning: part 4 demonstration
0:10:43
Campaign Planning: part 3 definition of terms
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