The McMaster Continuing Education office will be closed on Friday, April 3 for Good Friday. We will respond to inquiries within 1-2 business days once we re-open on Monday, April 6.
This course introduces descriptive statistics, basic inferential statistics, linear regression, and probability concepts and calculations. Practical application activities in the course focus on how statistical methods are used in the analysis of data. Common statistical tools will be introduced and employed in order to demonstrate how significant and insightful information is collected, used and applied to problem-solving processes. This course is designed for individuals with no, or limited, study in Statistics.
Sunday, May 10 - July 12: 9:30 a.m. - 12:30 p.m. (Virtual)
Location:
ONLINE
Instructor:
Mark Peco
Notes:
This course is offered as a virtual classroom with classes held, as per the scheduled day/time. Classes will be held online, using a combination of synchronous, real-time, instructor led sessions, supplemented with asynchronous activities. You should expect to attend class at the same time, each week, although not every session will be a full 3 hours of live instruction. Rather, classes will provide learners the opportunity to apply what has been covered by your course facilitator. Laptop computer required; No class May 17.
Instructors
Mark Peco
People Card Modal Dialog
Mark Peco is a seasoned educator, consultant and team builder with expertise in data management, analytics and process improvement. He holds undergraduate and graduate degrees in engineering from the University of Waterloo and works with clients to identify and implement key capabilities needed to drive impact from their investments in data and analytics.
As a faculty member with leading organizations Mark develops and delivers courses, seminars and workshops to business and technology professionals on a broad range of data related topics. He teaches companies on a global basis how to implement and govern “intelligent” business solutions.
Mark is a Certified Business Intelligence Professional (CBIP) at the mastery level and maintains his professional focus at the intersection of business, operations, and technology. He enjoys advising and facilitating management teams as they learn new concepts, how to shape new data-driven business strategies and how to achieve success.
