Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science.阅读更多.
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Probability Theory: Foundation for Data Science 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
