The box office accepts Visa, Mastercard, Discover, and Cash.
The box office is located at 229 East Front Street and the main entrance to the centre.
The box office phone number is 330-746-5600.
The box office hours are 10:00am to 5:00pm Monday through Friday.
As you enjoy a wide variety of sports and entertainment events at the Covelli Centre, it is our goal to make your visit with us a positive experience. Our staff is committed to upholding the expectations of all who attend our many events. You will find the Covelli Centre to be a user-friendly building. It is accessible and provides a safe and comfortable environment. Our Guest Services Staff are trained to provide service excellence with an understanding of how to accommodate any guest's special needs. The Covelli Centre is designed to be an "arena for everyone." The following will give you helpful information of policies, procedures and amenities offered to make your visits to us memorable and enjoyable. For information or assistance, Guest Services is located at the main entrance across from Section 201 and can be reached at anytime by calling 330-746-5600 - ext. 5192 or ext. 5183. First Aid during events can be reached by calling ext. 5191. Automatic doors are located at all concourse entrances, VIP, Main and across from Disability parking at Section 217. Wheelchairs (with escorts) are available to transports guests. Contact Guest Services. The passenger elevator is available to transport guests to all levels of the Centre.
Cash, Visa, MC, Discover, American Express
Available at Box Office during regular hours.
Holiday Box Office Hours: Christmas Eve (12/24/19) - 10:00am-2:00pm Christmas Day (12/25/19) - CLOSED New Year's Eve (12/31/19) - CLOSED New Year's Day (1/1/20) - 12:00pm-7:00pm Box office hours: Monday - Saturday 10:00am-8:00pm Sunday 11:00am - 7:00pm THE BOX OFFICE WILL BE OPEN FOR SALES IN PERSON ONLY.
There are no steps into the theatre from the sidewalk. Please be advised that where there are steps within the theatre we are unable to provide assistance. Orchestra: Seating is accessible to the Orchestra without steps, but there are 1-2 steps up to access rows Q-T in the Center and Right Orchestra. Wheelchair seating is in the Orchestra only. Mezzanine: On the 2nd Level: up 29 steps from the Orchestra. There is no elevator to the Mezzanine. Entrance is behind row F. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the mezzanine. Balcony: On the 3rd level: up 76 steps from the Orchestra. There is no elevator to the Balcony. There are approximately 2 steps up/down per row. There are handrails along both sides of every aisle in the Balcony.
Course Description:
The Data Analysis Boot Camp equips candidates with the knowledge, techniques and models to transform data into usable insights for making business decisions. The course simplifies complex concepts, breaks down math jargon and helps navigate complex symbols and equations. These skills enable candidates to zoom in on the most useful data and apply it in the real world. It also provides practical techniques for presenting findings to quickly make decisions that drive organizations forward. These tools include graphic presentation techniques and simplified models to transform the results of data analysis into digestible, easy-to-understand insights and usable recommendations.
Course Outline:
Data Fundamentals
Course Overview and Level Set
Understanding Real-world Data
Types of Data
LAB: Hands-on – Profiling Data
Data-related Risk
Data Quality
LAB: Hands-on – Dealing with Duplicates
Relationships
LAB: Hands-On – Data Relationships using PowerPivot
Analysis Foundations
Statistical Practices: Overview
Domains of Data Analysis
Analyzing Data
Statistical Practices: Overview
Averages in Data
Central Tendency
LAB: Hands-On – Central Tendency
LAB: Hands-On – Linear Regression
Distributions
Correlation
LAB: Hands-On – Distributions in Consumer Finance Data
Analytical Graphics for Data
Analytics & Modeling
ROI & Financial Decisions
LAB: Hands-On – Helpful Financial Metrics in Excel
Using Financial Data
Random Numbers
Demo / Lab – Monte Carlo Analysis in Excel
Predictive Analytics
Demo / Lab – Using R for Powerful Analysis
Clustering
Data Modeling
Data Warehousing
Visualizing & Presenting Data
Goals of Visualization
Visualization Essentials
Demo / Lab – Improving a Difficult Report
Communicating Data-Driven Knowledge
Target Audience :
Anyone involved in operations, project management, business analysis, or management would benefit from this course. This training is invaluable for:
Business Analysts, Business Systems Analysts, CBAP, CCBA
Systems, Operations Research, Marketing, and other Analysts
Project Managers, Program Managers, Team Leaders, PMP, CAPM
Data Modelers and Administrators, DBAs
IT Managers, Directors, VPs
Finance Managers, Directors, VPs
Operations Supervisors, Managers, Directors, VPs
Risk Managers, Operations Risk Professionals
Process Improvement, Audit or Internal Consultants and Staff
Executives exploring cost reduction and process improvement options
Professionals who want to show dedication to process improvement
Senior staff who make or recommend decisions to executives
Learning Objectives :
Identify opportunities, manage change and develop deep visibility into the organization
Understand analytics, business intelligence and statistics terminology
Practical applications of data analysis across business
Data visualization and effective presentation of data analysis results
Create more accurate projections while accounting for variance, error, and confidence intervals
Using the array of data plots and chart formats to analyse underlying data trends and patterns through practical exercises
Differentiating data signal from data noise - separating critical from extraneous data
Understand and leverage different distribution models, and the real world applications
In-depth practical statistics knowledge, and how it relates to risk, probability, results and action
Develop a robust, practical understanding of probability theory - and how to leverage it
Form and test hypotheses - using multiple methods to define and interpret projections
Statistical inference and interpretation of population wide conclusions
Substantial set of practical modeling skills
Using computation to mine data, run simulations, find data clusters and critical attributes
Application of data for practical use: Reporting, Dashboards, Metrics, Quality, Financial Modeling and more
Hands-on predictive analytics knowledge including key terminology and algorithms
Forecasting future results, finding opportunities for process improvement, and analyzing past performance
Real-world labs using data analysis tools as per the course syllabus
Applicability of data analysis skills and methods to candidates' own scenarios with a data expert instructor over the three days
Course Agenda :
Day 1
Data Fundamentals
Analysis Foundations
Day 2
Analyzing Data
Analytics and Modeling
Day 3
Visualizing and Presenting Data
Who Can Attend?
Anyone involved in operations, project management, business analysis, or management would benefit from this course. This training is invaluable for:
● Business Analysts, Business Systems Analysts, CBAP, CCBA
● Systems, Operations Research, Marketing, and other Analysts
● Project Managers, Program Managers, Team Leaders, PMP, CAPM
● Data Modelers and Administrators, DBAs
● IT Managers, Directors, VPs
● Finance Managers, Directors, VPs
● Operations Supervisors, Managers, Directors, VPs
● Risk Managers, Operations Risk Professionals
● Process Improvement, Audit or Internal Consultants and Staff
Executives exploring cost reduction and process improvement optionsProfessionals who want to show dedication to process improvementSenior staff who make or recommend decisions to executives
The Box Office accepts Visa, Mastercard, Discover & American Express.
(816) 920-9400
The Box Office hours are as follows: Monday through Friday - 8:30AM to 5PM Saturday (during Chiefs season) - 9AM to 1 PM - Home Game weekends only Saturday and Sunday - Closed