Lynda.com is no longer available for individual subscribers. Please go to LinkedIn Learning to access your account if you moved or to sign up for a new account. For additional support, reach out to email@example.com.
The R language is one of the top two languages you need to learn if you want build the strongest career path possible in data science. (The other is Python.) After mastering the basics of R, take your skills in data science into highly valued areas of specialty with this learning path.
Learn R in the context of the R tidyverse.
Createdata visualizations and presentations.
Developbusiness analytics skills at an advanced level in Excel.
Learn to integrate the tidyverse into your R workflow and get new tools for importing, filtering, visualizing, and modeling research and statistical data.
3h 50m • COURSE
Business Analytics: Data Reduction Techniques Using Excel and R with Conrad Carlberg
Learn how to carry out cluster analysis and principal components analysis using R, the open-source statistical computing software.
1h 2m • COURSE
Creating Interactive Presentations with Shiny and R with Charlie Joey Hadley
Make the results of big data analysis more compelling and clear. Learn how to create interactive presentations and dashboards with RStudio and Shiny.
1h 53m • COURSE
R: Interactive Visualizations with htmlwidgets with Charlie Joey Hadley
5h 25m • COURSE
Data Visualization in R with ggplot2 with Mike Chapple
Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.
2h 27m • COURSE
You'll advance your R skills with these experts.
Charlie Joey Hadley
Martin John Hadley is a technology and data science evangelist.
Martin has worked in both industry and academia to promote the use of interactive technologies for education and sharing of knowledge. Currently, they are an academic research technology specialist at the University of Oxford, with a special interest in data visualization and analysis using scripting languages. They were a consultant for Wolfram Research and the project manager for the Live Data Project, which seeks to make interactive data visualization available as a service to academics. Their background is in STEM and scientific computation, pulling from a diverse range of interdisciplinary physical sciences with an enthusiasm and proven capability to engage with complex projects and deliver results. Contact them on LinkedIn.
Conrad Carlberg is a writer and consultant specializing in quantitative and statistical analysis.
He has authored 15 books on using Microsoft Excel for quantitative analysis. He holds a PhD in statistics and has run a consulting business specializing in statistical analysis in the medical and financial fields since 1995.
Mike Chapple is a teaching professor of information technology, analytics, and operations at the University of Notre Dame's Mendoza College of Business.
In his previous role as the senior director for IT service delivery at the University of Notre Dame, he oversaw the information security, IT architecture, project management, strategic planning, and IT compliance functions for the Office of Information Technologies.
Mike is a cybersecurity and analytics expert with over twenty years of experience. He is the author of over 30 books, including the Official (ISC)2 CISSP Study Guide and Sybex study guides from John Wiley and Sons covering the Security+, CySA+, PenTest+, CISM, and CIPP certifications. His LinkedIn Learning courses cover a wide variety of cybersecurity and analytics topics.
Learn more about Mike's cybersecurity training programs at CertMike.com.