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Course Description

Overview
In this workshop, learners will learn the basics of how to use R to wrangle data, create visualizations, and conduct exploratory analyses. The workshop will use the popular “tidyverse” suite of packages and will also teach learners the concept of tidy data and how it facilitates analysis. The workshop will include three two-hour sessions with the following learning objectives:

  • After Session 1: Data Wrangling, learners will be able to:
    • Use RStudio and the tidyverse suite of packages to load and work with datasets;
    • Describe what makes data “tidy,” why tidy data is useful to work with, and how to make datasets tidy;
    • Transform data to prepare it for visualization and analysis.
  • After Session 2: Data Visualization, learners will be able to:
    • Describe the “Grammar of Graphics” philosophy that underlies the ggplot2 visualization package;
    • Create visualizations including barplots, scatterplots, line graphs, and more using ggplot2;
    • Customize all aspects of visualizations;
    • Save and export visualizations for print, submission to journals, and other applications.
  • After Session 3: Exploratory Data Analysis, learners will be able to:
    • Use visualizations to explore and identify patterns in data;
    • Identify and handle missing data;
    • Identify covariation in variables;
    • Build simple linear models to identify relationships between variables.

Continue Learning:
BIOF 018 | Intermediate R Boot Camp
BIOF 019 | Designing Effective Data Visualizations in R

Prerequisites
Basic computer literacy

Credit
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. One CEU is equal to ten contact hours. Upon completion of this course each participant will receive a certificate, showing completion of the workshop and 0.7 CEUs.

This workshop applies toward the Bioinformatics Curiosity digital badge.

Refund Policy
100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.

50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.

No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.

Notification
All cancellations must be received in writing via email to Ms. Carline Coote at registration@faes.org.

Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day.

All refund payments will be processed by the start of the initial workshop.

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To Register Click on "Add to Cart"

Section Title
Introductory R Boot Camp
Type
Online Synchronous
Days
T
Time
5:30PM to 8:00PM
Dates
Jan 11, 2022 to Jan 25, 2022
Schedule and Location
Contact Hours
7.5
Location
  • ONLINE
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout $900.00
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