Workshop

The Canadian Evaluation Society National Chapter is hosting a 4-day Essential Skills Series. This in-person course is intended to provide learners with the foundations of professional evaluation including underlying evaluation theory, ethical considerations and standards, identifying objectives, stakeholder engagement, describing programs, creating evaluation questions, identifying indicators, research design and methods, data management and analysis, work planning, evaluation reporting. The course will take place on June 13th and 4th and again on June 20th and 21st. No prior experience is needed to attend this course. Learn more and register by June 6th here  

The Canadian Evaluation Society Ontario Chapter is hosting a 4-day Essential Skills Series. This in-person course is intended to provide learners with the foundations of professional evaluation including underlying evaluation theory, ethical considerations and standards, identifying objectives, stakeholder engagement, describing programs, creating evaluation questions, identifying indicators, research design and methods, data management and analysis, work planning, evaluation reporting. No prior experience is needed to attend this course and participants will receive a certificate upon completion of all modules. Learn more and register for the series here Use code EARLYBIRD24 to receive a $100 discount off the registration cost. The code

The Excellence through Quality Improvement Project (E-QIP) is hosting a webinar series on Unlocking the Power of Data. In this session, Building Data Culture and Data Literacy through Dialogue, participants will learn how to: Facilitate Data-Driven Discussions Across Organizational Levels: Learn how to utilize data dashboards and visual management tools to enhance communication and decision-making across different organizational tiers. Enhance Data Literacy and Analytical Thinking: Understand the significance of data validation and selecting relevant indicators. The session will highlight the importance of starting with simple analyses and gradually progressing to more complex evaluations to ensure data accuracy and reliability. Build