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In this series of posts, I explain how real-world statistics differs from what is taught in undergraduate statistics classes. I share insights on how to bridge that gap, and show how to navigate the subtleties arising from this difference.
Note: this post is part of a series of posts about Data Analysis In The Real World Learning theory is fine and dandy — but being able to execute an analysis is what gets you hired. Everyone can talk about Data Analysis, Data Aggregation, and throw in...
Haha! What a title! I was inspired to make this series because in my job as a statistician — I’m realising that real world statistics isn’t really “covered” in my undergraduate statistics classes. Som
Note: this post is part of a series of posts about Data Analysis In The Real World Transforming your data is a crucial skill that becomes evident only after you’ve worked with data for a while. It’s only after seeing enough bad data interpretations a...
Note: this post is part of a series of posts about Data Analysis In The Real World What does removing an outlier do your your analysis? I’m sure that everyone in the field of data wold have grappled with this question before. Today, I want to talk to...
Note: this post is part of a series of posts about Data Analysis In The Real World In regression we learn about R² — the coefficient of determination — representing the proportion of variance explained by our regression model. It ranges from 0 to 1 —...
Note: this post is part of a series of posts about Data Analysis In The Real World Back in the previous post — we looked at Time Series Analysis from a more statistical point of view. However, typically, bosses aren’t that interested in knowing wheth...
