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GPLD156 - Data Analytics Essentials: Can we always trust numbers?

This workshop is part of the GradProSkills JMSB Business School Essentials series. It is an introductory workshop intended for students with no prior data intelligence knowledge. Content is relevant to students from any discipline who are seeking a basic understanding of data intelligence for their career.

We live in a world of information overload that needs to be summarized, analysed and presented in an understandable manner. Everywhere we look, data is being collected. Data Mining is becoming a necessary tool to understand patterns. How do we deal with disparate sources of data, missing values, outliers, multi-collinearity? How can the average person trust the information generated and the conclusion being reaching? What are the consequences of mishandling the information? In this workshop, we will identify a few key questions that must be asked and properly answered before putting our trust in claims and results.


Learning Objectives



At the end of this workshop, participants will be able to:

1. Critique reports and question the analysis.
2. Identify missing information.
3. Propose different approaches to analyzing data.


Leaders Information



This workshop is led by Sara Hossaini, MBA Candidate at John Molson School of Business.

Sara Hossaini is currently an MBA Candidate in John Molson School of Business. She has an Electrical engineering degree and has worked as Consultant Engineer in different projects. After moving to Dubai, UAE; she has worked in several international companies in administrative roles serving major clients for 7+ years. Sara is a researcher in the Supply Chain Management Department and is assisting Dr. Danielle Morin on a study of the impact of technology on student’s learning.

This workshop is not scheduled at this time.
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