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Course Description


Statistical analyses are regularly required for nearly every quantitative scientific study.  Although simple data analysis tools are tenable for small-scale analyses, more rigorous software can enhance analysis replicability, improve data management, and facilitate more advanced analysis techniques in addition to scaling up to larger datasets.  One such program, R is a free, open-source software that is standard for data analysis across numerous fields.  This course will provide an introduction for using R to perform statistical analyses.

Objectives
Upon completing the workshop, attendees will have the confidence, knowledge, and resources to

  1. Create R projects to organize data and code
  2. Write R scripts to perform full data analysis starting from raw data, including:
    • Importing, editing, cleaning, and summarizing data in R
    • Performing diagnostic tests, including making diagnostic plots
    • Conducting statistical analyses
    • Creating basic plots to demonstrate statistical findings
  3. Find and understand online resources to learn more about R functionalities

Target Audience
Researchers who understand statistical concepts and have perhaps conducted analyses using Excel, SPSS, or similar and/or have taken BIOF 097, but have little to no experience using R.

Related Workshop
BIOF 097 | Practical Scientific Statistics

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 registrar@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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Click in the Box Below for Schedule and Fee Information. Then Click on "Add to Cart" to Register.

Section Title
Introduction to Statistical Analysis in R
Type
Online
Days
T, W, Th
Time
9:00AM to 5:00PM
Dates
Apr 20, 2021 to Apr 22, 2021
Schedule and Location
Contact Hours
24.0
Location
  • ONLINE
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout $1,155.00
Drop Request Deadline
Apr 13, 2021
Transfer Request Deadline
Apr 13, 2021
Section Title
Introduction to Statistical Analysis in R
Type
Online
Days
T, W, Th, F
Time
9:00AM to 5:00PM
Dates
Jun 22, 2021 to Jun 25, 2021
Schedule and Location
Contact Hours
32.0
Location
  • ONLINE
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout $1,490.00
Drop Request Deadline
Jun 15, 2021
Transfer Request Deadline
Jun 15, 2021
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