|
所在平台: EdxArchive 课程类别: 其他类别 大学或机构: PurdueX 授课老师： Mark D. Ward |
课程主页: https://www.edx.org/archive/probability-distribution-models-purduex-416-2x-1
课程评论：没有评论
Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.
In this statistics and data analysis course, you will learn about continuous random variables and some of the most frequently used probability distribution models including, exponential distribution, Gamma distribution, Beta distribution, and most importantly, normal distribution.
You will learn how these distributions can be connected with the Normal distribution by Central limit theorem (CLT). We will discuss Markov and Chebyshev inequalities, order statistics, moment generating functions and transformation of random variables.
This course along with the recommended pre-requisite, Probability: Basic Concepts & Discrete Random Variables, will you give the skills and knowledge to progress towards an exciting career in information and data science.
The Center for Science of Information, a National Science Foundation Center, supports learners by offering free educational resources in information science.
