Analytics for Decision Making

Overview

Data analytics improves the probability of using evidence-based solutions to solve difficult governance problems. Every organization is increasingly turning to data to help facilitate transformational changes.

This course provides participants with a baseline knowledge of analytics to support evidence-based decision making. Participants will improve their understanding of the processes used in decision making, and the tools and techniques for the application of analytics to these processes. Discussions include the most common and useful analytics methods, techniques, and software.

This course will provide participants with a knowledge base that will equip them to make improved allocations of resources in the most effective way.

 

Topics

  • Defining evidence-based decision making
  • Highlighting key fundamentals of analytics: descriptive, predictive and prescriptive
  • Reviewing analytical methods and relevant industry-standard software
  • Creating reporting roadmaps and forming a strong data-driven team
  • Discussing common barriers and resistance to analytic implementation

 

Audience

  • Managers and professionals who are in a position requiring decision making for planning, development and policy making.
  • Individuals in mid to senior level positions looking to advance their knowledge of analytics for evidence-based decision making.

 

Delivery Mode

  • In Person

 

Cost

$995 (plus tax)

Featured Instructor

Marwan Kashef, MMAI, is a data scientist, instructor, and mentor with over half a decade’s worth of experience in planning, building, and launching analytic & AI solutions.  He has functioned as a data leader in both the private and public sectors and has worked with large-cap companies to enable their analytic implementations.

With a Master of Management in Artificial Intelligence from Queen’s University, Marwan has had the opportunity to command his understanding of industry best practices for applying data-driven initiatives effectively and efficiently in a team-based environment.  When not teaching at the University of Ottawa, he leads data science at Ottawa-based RVezy, the largest RV rental marketplace in North America.

 

Sessions

Event CodeTitleBegin DateEnd DateTermDelivery MethodRegister to Event
P00122210AAnalytics for Decision Making10/13/202210/14/2022AutumnIn PersonRegister to Event
P00122212AAnalytics for Decision Making12/13/202212/16/2022AutumnOnlineRegister to Event
P00122303AAnalytics for Decision Making3/21/20233/24/2023WinterOnlineRegister to Event