R for Data Science: Analysis and Visualization.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2023.
Format
eVideo
Status
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Language
English
Notes
General Note
1/23/202312:00:00AM
Participants/Performers
Presenter: Barton Poulson
Description
Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.
Description
If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson. The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R's power. You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis. By the end of the course, you'll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Poulson, B. (2023). R for Data Science: Analysis and Visualization . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Poulson, Barton. 2023. R for Data Science: Analysis and Visualization. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Poulson, Barton. R for Data Science: Analysis and Visualization linkedin.com, 2023.
MLA Citation, 9th Edition (style guide)Poulson, Barton. R for Data Science: Analysis and Visualization linkedin.com, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
47ba6b61-8adb-8063-4812-37eb7888e5c9-eng
Grouping Information
| Grouped Work ID | 47ba6b61-8adb-8063-4812-37eb7888e5c9-eng |
|---|---|
| Full title | r for data science analysis and visualization |
| Author | poulson barton |
| Grouping Category | movie |
| Last Update | 2024-02-07 10:25:35AM |
| Last Indexed | 2024-04-13 02:56:33AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Jun 9, 2023 |
| Last Used | Jun 9, 2023 |
Marc Record
| First Detected | Jan 28, 2023 03:19:29 PM |
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| Last File Modification Time | Feb 07, 2024 10:27:06 AM |
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| 520 | |a If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson. The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R's power. You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis. By the end of the course, you'll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data. | ||
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