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Data Analytics Certificate

About the Certificate

This certificate in data analytics provides an overview of topics in statistics and their applications in a variety of fields. This certificate will present the basics of quantitative analysis and its increasing use in today’s professional landscape. Learners are exposed to quantitative decision-making tools and techniques, which tie into real-world case studies. Each course in this certificate utilizes games, videos, interactive exercises, quizzes, real-world case studies, and other engaging content to ensure rapid mastery of the content and direct application. Course videos and lessons focus on the use of both Microsoft Excel and OpenOffice.

Courses include:

  • Data Analysis for Improving Organizational Performance
  • Data Analysis in the Real World
  • Introduction to Data Analysis
  • Statistical Process Control
  • Statistics as a Managerial Tool
  • Tools of Data Analysis
Data Analytics Certificate

Contact

Professional Development Institute

Janet M. Jones, Director, Professional Development Institute
570-945-8621

John P. Gorel, Director, Corporate Relations
570-945-8622

Email: pdi@keystone.edu

Office Location: Ward Hall

Learning outcomes:

  • Employ the tools that bring data to life and keep people engaged in the process
  • Differentiate among data-driven decisions when applied to different sectors, such as health care, education, and government
  • Describe the different types of decisions made in an organizational setting, why quantitative analytics is important, and how data quality can affect decision making
  • Describe quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the seven basic quality tools
  • Examines statistics as a managerial tool and describe common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action
  • Describes, evaluate, and analyzes different statistical techniques and their real-world limitations and benefits
  • Describe crossover analysis, break-even analysis, cluster analysis, decision tree analysis, and regression

Estimated length: 30 hours
Access Time: 365 days
3 CEUs | 30 (ISC)2 CPEs | 30 HRCIs | 25 PDUs
Delivery: Online
Cost: $399

Online courses and certificates, offered by a trusted partner, are self-paced and can be conveniently accessed anytime and anywhere from a computer with an internet connection. Courses are engaging and include real-world examples, videos, interactive games, assessments, and focused instruction. An "Ask the Expert" feature allows you to pose course-related questions and receive feedback within 24 hours. Courses are accessible, customizable, integrated, printable and mobile-friendly.

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