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Data Analysis – Guided Data Driven Decision-making

Course Description

This course is an ideal opportunity for individuals who need a quick way to obtain insights or make comparisons that can guide data driven decision-making. Through three sessions of six hours held online synchronously on the Zoom Platform, participants will be able to learn valuable skills and techniques that they can use in their everyday work.

The first session will cover the basics of data structure and types, as well as how to properly interpret descriptive statistics with emphasis on common pitfalls people do when interpreting them.

The second session of our course will focus on what to look for when assessing errors and uncertainty, as well as comparing two possible outcomes. We will learn how to interpret the results of Odds ratio and Risk analysis, ordinary linear regression, and maybe even logistic regression. Additionally, we’ll discuss how key questions can be asked in order to gain insights from the data being analyzed.

The third session we will look at how different variables interact with each other through correlation analysis – helping us understand relationships between multiple variables at once – which is fundamental when making decisions based upon complex datasets.

Overall this course offers a unique opportunity by providing theoretical knowledge followed by practical examples where participants can apply what they learned from earlier lessons.

Instructor: Guillermo Martinez-Dibene

Dr. Guillermo Martinez Dibene obtained his PhD in Mathematics with specialization in Probability and Statistics in November 2020, from the University of British Columbia. [Prior to that he obtained a master’s degree in Science (specialization in probability and statistics), which combined a balanced between theory and practice.] He currently works as a data analyst for Lu’Ma Native Housing Society, making reports, analyses, and dashboards. Guillermo’s goal in his current position is to help people in need and demonstrate, through data analyses, the need for social safety nets. [Guillermo mainly works with Python and Excel, although he also knows how to code in R.] Previous applied work includes financial modelling and assessing instructor beliefs about active learning. Dr. Guillermo has taught university level courses in the past; his teaching style focuses on active learning and the philosophy that practice makes perfect. Critical thinking and understanding contents are part of the aspirations he has for his students. He is accessible and always willing to guide his students to achieve success in their courses.