Chapters (20)
- 0:00Welcome
- 2:20Installing R
- 7:17RStudio
- 11:52Packages
- 19:16plot()
- 27:49Bar Charts
- 32:10Histograms
- 39:44Scatterplots
- 44:39Overlaying Plots
- 52:30summary()
- 55:49describe()
- 1:00:17Selecting Cases
- 1:06:14Data Formats
- 1:21:39Factors
- 1:28:34Entering Data
- 1:34:18Importing Data
- 1:42:29Hierarchical Clustering
- 1:49:35Principal Components
- 1:59:16Regression
- 2:08:36Next Steps
Show the creator's full description
Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important tools in data science.
💻Course Files: https://drive.google.com/drive/folders/15U8WjVKbYXaq6N6Wb_6bCr9QZ1DwCkAO
💻 Course created by Barton Poulson from datalab.cc.
🔗 Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc
🔗 Watch more free data science courses at http://datalab.cc/
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:02:20) Installing R
⌨️ (0:07:17) RStudio
⌨️ (0:11:52) Packages
⌨️ (0:19:16) plot()
⌨️ (0:27:49) Bar Charts
⌨️ (0:32:10) Histograms
⌨️ (0:39:44) Scatterplots
⌨️ (0:44:39) Overlaying Plots
⌨️ (0:52:30) summary()
⌨️ (0:55:49) describe()
⌨️ (1:00:17) Selecting Cases
⌨️ (1:06:14) Data Formats
⌨️ (1:21:39) Factors
⌨️ (1:28:34) Entering Data
⌨️ (1:34:18) Importing Data
⌨️ (1:42:29) Hierarchical Clustering
⌨️ (1:49:35) Principal Components
⌨️ (1:59:16) Regression
⌨️ (2:08:36) Next Steps
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