DEV Community Series Explains Probability Fundamentals for Data Science Beginners

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A tutorial published on DEV Community as Part 4 of an ongoing data science series breaks down the core concepts of probability for beginners. The article covers key topics including outcomes, events, complementary events, conditional probability, and the distinction between discrete and continuous random variables. Using a real hospital visit dataset called healthaccess_data_mini.csv, the author demonstrates how to calculate basic probabilities in Python, finding roughly a 28.57% chance that a randomly selected visit is an inpatient one. The piece builds on earlier installments that introduced descriptive statistics and probability distributions such as Binomial and Poisson. It aims to give readers a foundational understanding of probability before revisiting why those distributions are classified as probability distributions.

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