The McMaster Continuing Education office will be closed for the holiday break on Wednesday, December 25, 2024. We will respond to inquiries when the office re-opens on Monday, January 6, 2025.
This course will examine the exploration of data in order to discover meaningful information to solve problems. The course will present the analytics life cycle in context of planning to solve a business problem. Emphasis will be placed on framing the problem, proposing an analytics solution, communicating with stakeholders, and establishing an analytics focused project plan. Common data visualization tools and techniques will be explored and used as students learn best practices for the presentation and communication of analytical solutions and insights.
Thursday, January 23 - March 20: 6:30 p.m. - 9:30 p.m. (Virtual)
Location:
ONLINE
Instructor:
Dario Medina Guerra
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
Instructors
Dario Medina Guerra
People Card Modal Dialog
Dario Medina is a Senior Business Intelligence Analyst for Wealth at TD Bank in Toronto. In his role he builds operational dashboards and scorecards for various business lines to support their strategic objectives. Dario has also held senior business intelligence and leadership roles at Scotiabank, Bell before coming to Canada from Peru, Praxair. He has a Bachelor of Applied Science in Computer Software Engineering, a Masters of Software Engineering and an MBA from McMaster University.
Karim is Statistician by training, a Certified Analytics Professional, an active member of the American Statistical Association, and a DASCA certified Senior Data Scientist. He’s also a former Fulbright scholar at U.C. Berkeley. His past teaching experience includes Big Data Analytics courses and Capstone project supervision at Ryerson University and Sheridan College. Karim has also held multiple senior analytics positions in the public service of Canada and Ontario. He’s most passionate about non-linear dimension reduction methods.
