Advanced Statistics for Data Science Specialization

开始时间: 12/21/2023 持续时间: Approximately 5 months to complete Suggested pace of 2 hours/week

所在平台: Coursera专项课程

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/specializations/advanced-statistics-data-science

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课程详情

R ProgrammingLinear RegressionStatistical Hypothesis TestingStatisticsLinear AlgebraConfidence IntervalBiostatistics

课程大纲

Course Link: https://www.coursera.org/learn/biostatistics

Name:Mathematical Biostatistics Boot Camp 1

Description:Offered by Johns Hopkins University. This class presents the fundamental probability and statistical concepts used in elementary data ... Enroll for free.

Course Link: https://www.coursera.org/learn/biostatistics-2

Name:Mathematical Biostatistics Boot Camp 2

Description:Offered by Johns Hopkins University. Learn fundamental concepts in data analysis and statistical inference, focusing on one and two ... Enroll for free.

Course Link: https://www.coursera.org/learn/linear-models

Name:Advanced Linear Models for Data Science 1: Least Squares

Description:Offered by Johns Hopkins University. Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an ... Enroll for free.

Course Link: https://www.coursera.org/learn/linear-models-2

Name:Advanced Linear Models for Data Science 2: Statistical Linear Models

Description:Offered by Johns Hopkins University. Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class ... Enroll for free.

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课程简介

数据科学高级统计学(Advanced Statistics for Data Science Specialization)专项课程,熟悉数据科学的概率和统计、数据分析和线性模型的基本概念。您将学到什么:学习概率、期望、条件概率、分布、置信区间、引导、二项式比例等知识;了解线性回归模型的矩阵代数;了解线性模型的典型示例,将其与您可能已经在使用的技术联系起来。

课程标签

统计资料 线性回归 统计假设检验 R 程序设计 线性代数

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