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Course Description

This is a 2 week workshop that runs from 6 pm ET to 9PM ET on Tuesdays, Wednesdays, and Fridays

Simultaneous access to two screens is highly recommended for best learning experience. Examples include one computer with two screens, two computers, one laptop and one tablet, etc.

As big data becomes the norm and experiments continue to increase in scale, proper understanding and use of statistics is becoming increasingly important for scientists in every field.  While experimental researchers are expert in concepts related to their respective fields and receive extensive scientific education, statistical training is relatively lacking.  As a result, experimental researchers may feel overwhelmed or uncertain about how to correctly use statistics to quantify their experimental results and how to properly interpret the results of those statistical tests.  Unfortunately, this knowledge gap can result in both reduced understanding of reported results in scientific publications as well as superficial or potentially inaccurate reported statistics.  This workshop serves as a practical, hands-on workshop to close the knowledge gap and help experimental researchers learn how to choose a statistical test for their data, how to perform those tests, and how to interpret the results.  The workshop starts by establishing a solid foundation in basic statistical theory before advancing to practical applications of statistical tests on real data.  

This workshop is uniquely organized so students can choose their preferred statistical analysis software to run statistical analyses (such as SPSS, GraphPad Prism, or R) and will receive instructional support as they use their chosen software.  Instructions to run basic analyses using Excel and links to online analysis resources will also be available for students who are not sure which software they prefer.

Learner Outcomes

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

  • Understand basic theory underlying many popular statistical tests
  • Determine the appropriate statistical test to use given a dataset and a research question
  • Perform basic statistical tests using statistical software of their choice
  • Interpret and understand output from statistical tests

Target Audience

Experimental researchers with limited formal statistics instruction.
 

Microcredential

This workshop applies toward the Bioinformatics Endeavor digital badge.

Prerequisites

Attendees should have access to their preferred statistical analysis software before the start of the workshop.

Credit

Although no grades are given for workshops, 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, each participant will receive a certificate, showing completion of the workshop and 2.1 CEUs.

Refund

Follow the link to review Workshop Refund Policy.

Notification

  • All cancellations must be received in writing via email to 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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To Register Click on "Add to Cart"
Section Title
Practical Scientific Statistics
Type
Online Synchronous
Days
T, W, Th
Time
6:00PM to 9:00PM ET
Dates
Jul 22, 2025 to Jul 31, 2025
Schedule and Location
View Details
Contact Hours
18.0
Location
  • ONLINE
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout $1,344.00
Potential Discount(s)
CEUs
2.1 CEUs
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