You are here
Statistics for Ops: Making Sense Out of Data
Grand Ballroom A
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.
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.
- 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.
- 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)