R Essential Training Part 2: Modeling Data.
(Online Course)

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Published
Carpenteria, CA linkedin.com, 2020.
Format
Online Course
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Language
English

Notes

General Note
5/12/202012:00:00AM
Participants/Performers
Presenter: Barton Poulson
Description
Learn how to model data in R, one of the most important tools available for data analysis, machine learning, and data science.
Description
Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. It's one of the most important tools available for data analysis, machine learning, and data science. This training series provides a thorough introduction to R, with detailed instruction for working with R and RStudio and hands-on examples, from exploratory graphics to neural networks. In part two, Modeling Data, instructor Barton Poulson shows how to compute statistics, analyze data, predict outcomes, and group and classify cases. These are the fundamental techniques you need to generate meaningful insights for your organization.
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. (2020). R Essential Training Part 2: Modeling Data . linkedin.com.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Poulson, Barton. 2020. R Essential Training Part 2: Modeling Data. linkedin.com.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Poulson, Barton. R Essential Training Part 2: Modeling Data linkedin.com, 2020.

MLA Citation, 9th Edition (style guide)

Poulson, Barton. R Essential Training Part 2: Modeling Data linkedin.com, 2020.

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.