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Program Finder
Continuing Education
Self-Paced
Paid

Statistics as a Managerial Tool

Explore statistics as a crucial tool for managers and leaders to navigate complex business variables and leverage data effectively.

a person working on statistics on a laptop
Program Finder
Continuing & Professional Education
Data Analytics
Statistics As a Managerial Tool
Register Now

Classes Start Available Anytime

Course Overview

Managing in today's business environment demands more than just instincts due to the vast amounts of data and complex variables involved. This intermediate-level course explores how statistics can assist managers and leaders in understanding these complexities, substantiating their decisions, and gaining confidence in navigating risks effectively. It also covers graphical representations of data as powerful tools for illustrating situations and bolstering persuasive arguments in decision-making.


Course Format

This self-paced course offers a dynamic and engaging learning experience, combining interactive elements such as games, flashcards, video content, real-world case studies, and curated readings. Participants have the flexibility to progress at their own pace, while interactive games and quizzes reinforce key concepts and track progress. Flashcards, expert-led videos, real-world case studies, and carefully curated readings deepen knowledge.

This course is part of the Data Analytics program.

Price

$375

Course Details

Units 0.5 CEUs / 5 PDUs

Location Online Courses

Course Type Self-Paced

Next Available Course

Classes Start Available Anytime

Register Now

What You’ll Learn

After successful completion of this course, you will be able to:

  • Describe the broad applications and common pitfalls of statistics.

  • Evaluate criteria for assessing statistical validity and reliability.

  • Explain fundamental probability concepts and their practical applications, including the relationship between probability and event likelihood.

  • Apply descriptive statistics concepts (populations, samples, measures of central tendency, variability, distribution) and evaluate data using graphical displays (bar charts, pie charts, histograms, stem plots, box plots).

  • Discuss inferential statistics fundamentals and apply basic statistical methods to real-world scenarios, translating data into graphical presentations based on case studies.

Other Courses in this Program

Explore other courses in this program to gain comprehensive knowledge and earn your certificate

View Program Details
Continuing Ed
Self-Paced
Paid

Data Analytics

Data Analysis for Improving Organizational Performance

Explore essential tools and frameworks for delivering and interpreting data to enhance organizational performance in both public and private sectors.

Details
Continuing Ed
Self-Paced
Paid

Data Analytics

Data Analysis in the Real World

Grasp data-driven decision making and analytics-based recommendations in healthcare, education, and government, starting with an introduction to Big Data and its sector-specific implications.

Details
Continuing Ed
Self-Paced
Paid

Data Analytics

Introduction to Data Analysis

Make data-driven decisions by exploring decision types in organizational settings, emphasizing quantitative analytics' importance and the role of research quality in effective decision-making

Details
Continuing Ed
Self-Paced
Paid

Data Analytics

Statistical Process Control

Learn quality management fundamentals, differentiates quality control from quality assurance, and demonstrates the Seven Basic Quality Tools, concluding with a practical case study.

Details
Continuing Ed
Self-Paced
Paid

Data Analytics

Tools of Data Analysis

Discover essential statistical tools and techniques used in organizations for decision-making across various business functions, including crossover analysis, break-even, cluster, and analysis, & introductory regression.

Details

Your Instructor

Tony Roberts
Tony
Roberts

M.S.

Tony has more than 25 years of management experience in the healthcare and consumer electronic markets. His areas of expertise include new technology development, Lean Six Sigma implementation, international project management, risk management, quality management, and high volume manufacturing.

In addition to teaching for Oregon State, Tony teaches certification courses for the University of California - Irvine and the American Society for Quality (ASQ). He has worked with world-class clients such as Boeing, Northrop Grumman, Sprint, Southern California Edison, Ricoh, and Parker Hannifin. His professional certifications include Lean Six Sigma Master Black Belt, Project Management Professional (PMP), Certified Quality Manager (CQM), and Certified Quality Engineer (CQE).

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Get up to date information on upcoming class start dates and we will continue to share all the new certificates and courses we continue to add to make sure your skill set is ready for the future.

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