Data Science Foundations: Data Mining in R.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2021.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
2/12/202112:00:00AM
Participants/Performers
Presenter: Barton Poulson
Description
Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more.
Description
Data science continues to grow in sophistication and demand at an exponential rate. Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. Instructor Barton Poulson focuses on data mining in R, presents a broad range of algorithms including machine learning methods, and offers important information on laws and policies that affect data mining. Barton gives an overview of dimensionality reduction. He introduces clustering, including hierarchical clustering, then goes into association analysis. He explains time-series mining and decomposition, then concludes with text mining, sentiment analysis, and sentiment scoring.
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. (2021). Data Science Foundations: Data Mining in R . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Poulson, Barton. 2021. Data Science Foundations: Data Mining in R. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Poulson, Barton. Data Science Foundations: Data Mining in R linkedin.com, 2021.
MLA Citation, 9th Edition (style guide)Poulson, Barton. Data Science Foundations: Data Mining in R linkedin.com, 2021.
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.