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Course Description

Through this course, you will gain practice planning and producing useful visualizations in R.  Through active engagement in the weekly exercises and discussions, you will gain the skills necessary to follow, reproduce, and create workflows for data visualization in R. You will learn the “language” of data structures and plots to communicate precisely about your analyses,  describing various data formats, data manipulation methods, and visualization types. By completing each week’s module materials, you will gain familiarity with various methods of interfacing with R including the terminal, RStudio, and Jupyter Notebooks. 
 
You will learn material by watching introductory videos; reading supporting documentation; writing, executing, and reviewing code; and discussing your workflows with classmates.  Assignments will include: completing weekly quizzes, conducting interactive coding labs on DataCamp, writing reflections, reviewing code of peers, publishing a data exploration and visualization project.
This course requires a time commitment of about 6 hours/week to learn new concepts and reinforce previous material. Most of your time will be spent actively writing and testing R code. 

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Communicate effectively about preparing and visualizing data
  • Identify, discuss, and create data visualizations
  • Follow and generate reproducible workflows when interfacing with data in R

Microcredential(s):

This course applies toward the Bioinformatics Endeavor digital badge.

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

BIOF 501
OR
BIOF 017, BIOF 018, or BIOF 043
OR
basic familiarity with R.  

If you are unsure that you meet the prerequisite requirements, please contact registrar@faes.org and provide information about your course of interest and background knowledge.

Refund

Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details
 

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Section Title
Data Visualization with R
Type
Online Asynchronous
Dates
Jun 12, 2024 to Jul 30, 2024
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (1 Credits) $425.00
Available for Academic Credit
1 Credit(s)
Instructor(s)
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