Introduction to Linear Regression using Spreadsheets with Real Estate Data


Over the course of this session, we'll embark on a deep dive into the foundational principles of linear regression, a statistical machine learning model that aids in unraveling the intricate relationships between two or more variables. Our unique focus centers on the practical application of linear regression using real-world real estate data, offering a concrete context that will undoubtedly resonate with participants. The workshop kicks off with a thorough overview of linear regression concepts, ensuring a collective understanding of the fundamentals. As we progress, we transition into the practical realm, employing popular spreadsheet tools like Excel or Google Sheets to conduct insightful real estate data analyses. Participants will master the art of data input, application of regression formulas, model building, and interpretation of results, enriching their analytical toolkit. The workshop's core revolves around a hands-on exploration of a real-world scenario. Together, we'll dissect a data set featuring crucial real estate variables such as property prices, square footage, number of bedrooms and bathrooms, and location. This pragmatic approach empowers participants to directly apply linear regression concepts to authentic situations commonly encountered in the dynamic field of real estate. Engagement is key throughout our workshop, featuring interactive exercises, group discussions, and dedicated Q&A sessions to reinforce comprehension. By the workshop's conclusion, participants will wield the skills to adeptly leverage the fundamental machine learning model of linear regression for making informed and predictive decisions in the realm of real estate. Whether you're a novice seeking an introduction to regression analysis or a seasoned analyst aiming to refine your skills, this workshop guarantees a stimulating and enlightening experience.


Roberto is the founder of ScholarU (, a company focused on data and business analytics trainings, and was the founder of Analysis Consulting LLC, a company focused on data science and data visualization. He was the Head and Executive Director of Data Science and Strategy at Metis, a company focused on data science and analytics trainings. Previously, he led the signal processing team at Sensoria Inc., did research at the University of Washington, and was a Program Manager at Microsoft. He has worked in applications in the healthcare, internet of things, and business intelligence markets. He received a PhD in Biomedical Engineering from Boston University, and has co-authored several scientific publications, book chapters, and patents.

Open Data Science




Open Data Science
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Cambridge, MA 02142

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