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 an associate teaching professor at the University of Notre Dame.
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 has also served as a senior advisor to the executive vice president at Notre Dame for two years. Prior to that, he was program manager of the university's Information Security program and a consultant to the Notre Dame Alumni Association on alumni engagement initiatives.
Before returning to Notre Dame, Mike served as executive vice president and chief information officer of the Brand Institute, a Miami-based consulting firm. Mike also spent four years in the information security research group at the National Security Agency and serving as an active duty intelligence officer in the U.S. Air Force. He is a technical editor for Information Security magazine and has written over a dozen books, including the CISSP: Certified Information Systems Security Professional Study Guide (now in its sixth edition) and the CompTIA Security+ Training Kit.
Mike earned both his bachelor's and doctoral degrees from Notre Dame in computer science and engineering. He also has a master's in computer science from the University of Idaho and an MBA from Auburn University.