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Курс от Johns Hopkins University
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Advanced Probability and Statistical Methods
Курс от Johns Hopkins UniversityО курсе
The course "Advanced Probability and Statistical Methods" provides a deep dive into advanced probability and statistical methods, essential for mastering data analysis in computer science. Covering joint distributions, expectation, statistical testing, and Markov chains, you'll explore key concepts and techniques that underpin modern data-driven decision-making. By engaging with real-world problems, you’ll learn to apply these methods effectively, gaining insights into the relationships between random variables and their applications in diverse fields. Completing this course equips you with the skills to analyze complex data sets and make informed predictions, enhancing your proficiency in statistical reasoning and inference. Unique to this course is its blend of theoretical foundations and practical applications, ensuring that you can not only understand the principles but also implement them using tools like R. Whether you're pursuing a career in data science, machine learning, or any data-centric discipline, this course will empower you to tackle challenging statistical problems and drive meaningful insights from data.
Навыки, которые вы освоите
ProbabilityProbability DistributionProbability & StatisticsStatistical Hypothesis TestingCorrelation AnalysisMarkov ModelStatistical MethodsRegression AnalysisStatistical ModelingStatisticsStatistical ProgrammingData AnalysisR ProgrammingStatistical AnalysisData ScienceStatistical SoftwareStatistical Inference
Программа курса
6 модулей · 84 учебных материалов
01Course Introduction3 материалов
Учитесь у экспертов
Ian McCulloh
Преподаватель курса
Tony Johnson
Преподаватель курса