Skip to main content
USENIX
  • Conferences
  • Students
Sign in
  • Home
  • Attend
    • Registration
    • Discounts
    • Venue, Hotel, and Travel
    • Why Attend?
    • Students and Grants
    • Speaker Resources
  • Program
    • Program at a Glance
    • Conference Program
    • Training Program
    • Workshop Program
    • Conference Topics
    • Co-Located Events
      • URES '14 West
      • SESA '14
      • Puppet Camp Seattle
      • LISA Data Storage Day
      • CentOS Dojo Seattle
    • Activities
      • LISA Build
      • LISA Lab
      • Birds-of-a-Feather Sessions
      • Poster Session
      • LISA14 Expo
  • Sponsors and Expo
    • LISA14 Expo
    • Sponsors/Exhibitors List
    • Exhibitor Services
    • Download Prospectus (PDF)
  • About
    • Conference Organizers
    • Past Conferences
    • Services
    • Contact Us
    • Code of Conduct
    • Original Call for Participation
    • Help Promote

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home » Statistics for Ops: Making Sense Out of Data
Tweet

connect with us

http://twitter.com/lisaconference
https://www.facebook.com/usenixassociation
http://www.linkedin.com/groups/USENIX-Association-49559/about
https://plus.google.com/108588319090208187909/posts
http://www.youtube.com/user/USENIXAssociation

Statistics for Ops: Making Sense Out of Data

Half Day Morning
(9:00 am-12:30 pm)

Grand Ballroom A

LISA14: Metrics
S2
Kyrre Begnum, Oslo and Akershus University College of Applied Sciences
Nicole Forsgren Velasquez, Utah State University
Description: 

This tutorial is a course in statistics with a specific focus on system administrators and the types of data they face. We assume little prior knowledge of statistics and cover the most common concepts in descriptive statistics and apply them to data taken from real-life examples. Our aim is to provide insight into what methods provide good interpretation of data such as distributions, probability and formulating basic statements about the properties of observed data.

The tutorial instructors will be available in a Lab Space following the tutorial in order to answer questions and offer personal feedback on cases the attendees wish to investigate with their own data.

Who should attend: 

Sysadmins who are faced with data overload and wish they had some knowledge of how statistics can be used to make more sense of it. We assume little prior knowledge of statistics, but a basic mathematical proficiency is recommended.

Take back to work: 
  • A fundamental understanding of how descriptive statistics can help provide additional insight on the data in the sysadmin world and that will allow for further self-study on statistics. 
  • A basic set of statistical approaches that can be used to identify fundamental properties of the data they see in their own environments, and identify patterns in that data.
  • Learn how to make accurate and clear statements about metrics that are valuable to their organization.
Topics include: 
  • Descriptive statistics for single datasets, including: mean, median, mode, range, and distributions
  • Basic analysis of distributions and probabilities using percentiles typically seen in ops
  • Interpretation of analyses to include team and business implications
  • Regression analysis to suggest predictive relationships, with an emphasis on interpretation and implications
  • Correlation analysis and broad pattern detection (if time allows)
Presentation Type: 
Training

© USENIX

  • Privacy Policy
  • Contact Us

LISA is a registered trademark of the USENIX Association.