Description

Data analytics improves the ability of decision-makers to use evidence-based solutions when solving difficult governance problems. Every organization is increasingly turning to data to help facilitate transformational changes.

In this course, you will gain an understanding of how analytics supports evidence-based decision making. You will improve your understanding of the processes used in decision making, and how to apply analytics techniques to these processes. Discussions include the most common and useful analytics methods, and how they fit into the decision-making process.

During the course, you will also engage in hands-on exercises with fellow participants to practice techniques for combining evidence with decision making.

Learning Outcomes

At the end of this course the participant will be able to:
  • Define evidence-based decision making
  • Highlight key fundamentals of analytics: descriptive, predictive and prescriptive
  • Identify relevant analytical methods, and types of industry-standard software
  • Identify the elements of successful group decision making and data-driven teams
  • Recognize common barriers, potential issues and best practices for combining analytics with decision making

Duration

12 hours

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Jen Schellinck is an adjunct researcher at Carleton University and CEO of Sysabee, an Ottawa-based data science consulting company. She received her PhD in Cognitive Science in 2009 and has been active in the data science and artificial intelligence fields since that time. Her goal as a consulting data scientist is to help organizations understand the value that cutting-edge data technology can bring to their work and success. She uses her knowledge of artificial intelligence, machine learning and data science to help organizations achieve their greater potential. Clients include government departments, not-for-profits and business.