20 R Packages You Should Know
RichardOnData
@richardondataAbout
Knowledge and education are important. But you DON'T have to have multiple PhD's in mathematics, computer science, and statistics -- as well as working knowledge of C++, Java, Python, and Hadoop in order to get MOST data science jobs. On this channel, I want to help make both getting a data science job and acquiring the skills and thought processes you need a lot simpler and easier than that. I post here at least once a week with videos on: my own experiences in data science, on what's happening in the data science industry, practical applied statistics tutorials, R programming tutorials, and explain concepts so that you can understand them and use them! (Whether that's in the job you have now, the job you're trying to get, or for entertainment.)
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Subscribe to RichardOnData here: https://www.youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1 Skip ahead: 2:43 - dplyr 3:54 - data.table 5:09 - tidyr 6:12 - ggplot2 7:50 - ggThemeAssist 10:08 - esquisse 13:04 - plotly 14:51 - purrr 16:20 - stringr 16:54 - lubridate 17:44 - forcats 18:59 - rmarkdown 20:24 - kableExtra 21:25 - shiny 22:30 - shinyDashboard 23:17 - caret 24:10 - tidymodels 25:45 - keras 27:03 - fable 28:26 - reticulate RichardOnData tutorials: dplyr: https://youtu.be/6Z48qcrTfYU ggplot2/ggThemeAssist: https://youtu.be/2qPQhXnbk3o tidyr: https://youtu.be/4_7MDLTWflA lubridate: https://youtu.be/VYAo69WdJZg forcats: https://youtu.be/6aHrHzHgHms stringr: https://youtu.be/cVBvpi4qgc4 kableExtra: https://youtu.be/JqUViTDoSEo caret (part 1): https://youtu.be/SYUMTRt70pk caret (part 2): https://youtu.be/9vrf9O5ef6g caret (part 3): https://youtu.be/rTphHY9Chgk caret (part 4): https://youtu.be/epFy6SPIuWs #LearnR #RPackages #BreakingIntoDataScience Reference links: dplyr: https://dplyr.tidyverse.org/ data.table: https://cran.r-project.org/web/packages/data.table/vignettes/datatable-intro.html tidyr: https://tidyr.tidyverse.org/ ggplot2: https://ggplot2.tidyverse.org/ esquisse: https://rdrr.io/cran/esquisse/ plotly: https://plotly.com/r/ purrr: https://purrr.tidyverse.org/ stringr: https://stringr.tidyverse.org/ lubridate: https://lubridate.tidyverse.org/ forcats: https://forcats.tidyverse.org/ rmarkdown: https://rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf kableExtra: https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html shiny: https://rstudio.com/wp-content/uploads/2015/02/shiny-cheatsheet.pdf shinyDashboard: https://rstudio.github.io/shinydashboard/get_started.html caret: https://cran.r-project.org/web/packages/caret/vignettes/caret.html tidymodels: https://rviews.rstudio.com/2019/06/19/a-gentle-intro-to-tidymodels/ keras: https://tensorflow.rstudio.com/guide/keras/ fable: http://fable.tidyverts.org/ reticulate: https://ugoproto.github.io/ugo_r_doc/pdf/reticulate.pdf "R for Data Science" digital version: https://r4ds.had.co.nz/ "R for Data Science" amazon link: https://amzn.to/3tNFKVv "Deep Learning with R": https://amzn.to/3txjtdA All logos used are the property of RStudio. I am not the creator of the mentioned logos, packages, or materials. PayPal: [email protected] Patreon: https://www.patreon.com/richardondata BTC: 3LM5d1vibhp1F7pcxAFX8Ys1DM6XLUoNVL ETH: 0x3CfC599C4c1040963B644780a0E62d45999bE9D8 LTC: MH8yPjvSmKvpmRRmufofjRB9hnRAFHfx32
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