Package: datascience.curriculum 0.0.0.9011

datascience.curriculum: Blaser Lab Data Science Online Course

What the package does (one paragraph).

Authors:Brad Blaser [aut, cre]

datascience.curriculum_0.0.0.9011.tar.gz
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datascience.curriculum_0.0.0.9011.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
datascience.curriculum/json (API)
NEWS

# Install 'datascience.curriculum' in R:
install.packages('datascience.curriculum', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/blaserlab/datascience.curriculum/issues

Pkgdown/docs site:https://blaserlab.github.io

On CRAN:

Conda:

3.68 score 1 stars 12 scripts 0 exports 144 dependencies

Last updated from:f69c98f8e2. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE176
source / vignettesOK233
linux-release-x86_64NOTE156
macos-release-arm64NOTE98
macos-oldrel-arm64NOTE112
windows-develNOTE93
windows-releaseNOTE79
windows-oldrelNOTE77
wasm-releaseOK124

Exports:

Dependencies:abindaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangerclicliprcolorspaceconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrevaluatefarverfastmapfontawesomeforcatsforecastFormulafracdifffsgarglegenericsggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpolynomprettyunitsprocessxprogresspspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasrematchrematch2reprexrlangrmarkdownrstatixrstudioapirvestS7sassscalesselectrSparseMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextzdburcautf8uuidvctrsviridisLitevroomwithrxfunxml2yamlzoo

Core Lesson 1: Setting Up

Rendered fromcore_1.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2026-01-11
Started: 2026-01-11

Core Lesson 2: R Fundamentals

Rendered fromcore_2.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2026-01-11
Started: 2026-01-11

Core Lesson 3: Next Level R

Rendered fromcore_3.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2026-01-12
Started: 2026-01-11

Core Lesson 4: Packages

Rendered fromcore_4.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2026-01-11
Started: 2026-01-11