Data Visualization using R

Data Visualization using R

One of the reasons the R language has become a popular for analytics is because of its powerful functionality in its plotting systems. One can easily generate a high-quality and publication-ready figure in R without having to put too much effort in adjusting the parameters of R graphic functions.

In this course, students will learn how to generate different types of figures, such as histograms, bar plots, scatter plots, line plots, etc. In addition to exploring the different R plotting systems, we will focus on the ggplot2 plotting system, which contains the latest graphing techniques in R.

Course Highlights:

• Generating Figures and Adjusting Graphic Parameters by Using Traditional Graphic Systems
• Understanding Grammar of Graphics
• Exploring Data by Using Graphics
• The ggplot2 Graphic System
• Building a Plot Layer by Layer
• Adjusting Scales, Axes, Legends, Positioning and Faceting

Course Learning Outcomes:

• Write R Programs by using tools from the ggplot2 package
• Generate different types of figures, such as histograms, bar plots, line graphs, scatterplots
• Ability to use high-quality figures to satisfy the publication requirements of scientific journals

Software: R and RStudio.

Prerequisites: Basic understanding of R language or complete Introduction to R Programming.

Course typically offered: Online during our Summer and Winter quarters.

Next Steps: Upon completion of this class, consider enrolling in other required coursework in the R for Data Analytics specialized certificate program.

Contact: For more information about this course, please contact unex-techdata@ucsd.edu.

Course Number: CSE-41324
Credit: 3.00 unit(s)
Related Certificate Programs: R for Data Analytics

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7/11/2023 - 9/9/2023

$745

Online

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• SECTION ID:

  174083

• CLASS TYPE:

  Online Asynchronous.
  
  This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
  You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

• INSTRUCTOR:

  Li, Arthur, Biostatistician, City of Hope; Instructor, Department of Preventative Medicine, USC

  Arthur Li holds an M.S. in Biostatistics from the University of Southern California. Currently, he is a biostatistician at the City of Hope National Medical Center. Li developed and taught an introductory SAS course at USC for the past six years, and teaches a clinical biostatistics sourse at UC San Diego Extension. In addition to teaching and working on cancer-related research, Li wrote a book titled “Handbook of SAS® DATA Step Programming” which was released in April 2013.  

• TEXTBOOKS:

  No textbook required.

• POLICIES:

  No refunds after: 7/17/2023.
  

• NOTE:

• DATE & LOCATION:

  7/11/2023 - 9/9/2023
  extensioncanvas.ucsd.edu
  You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.