This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the building blocks of statistics) and their associated probability distributions.
The second half of the course will delve into the computation and interpretation of uncertainty. We’ll discuss how to conduct a hypothesis test using both test statistics and confidence intervals. Finally, we’ll consider the role of hypothesis testing in a regression context, including what we can and cannot learn from the statistical significance of a coefficient. By the end of the course, you should be able to discuss statistical findings in probabilistic terms and interpret the uncertainty of a particular estimate.阅读更多.
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What are the Chances? Probability and Uncertainty in Statistics 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。
What are the Chances? Probability and Uncertainty in Statistics is a part of 一 structured learning path.
5 Courses
5 Months
Data Literacy - Johns Hopkins University
