课程详情
A solid understanding of mathematics, especially probability, is crucial for successful data science endeavors. This course covers the essentials of probability with clear explanations, common equations, simple examples, and real-life applications. First, a review of the basics, like random variables, are covered along with the core distribution types: discrete, continuous, cumulative, and joint. Then, expectation and variance are explored, including conditional expectation, standard deviation, covariance, and correlation. Next, several standard discrete distributions and continuous distributions are detailed, followed by popular limit theorems and approximations. After that, Bayesian probability is explored, including how it differs from frequentist probability. Finally, a few common estimation methods are covered. Join Megan Silvey as she takes you through each section, imparting her expertise to you.
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Neelima Das
Neelima Das
Manager at Howden || Non - EB Placement & Underwriting || Ex - Anand Rathi || Ex - Mack Surveyors
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- 知识测验 7 个测验
- 随时随地学习 可在平板电脑和手机上访问
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