Coursera
在线学位寻找职业企业版面向大学
  • 浏览
  • 顶级课程
  • 登录
  • 免费加入
    Coursera
    • 浏览
    • Linear Regression

    筛选依据

    ''linear regression'的 117 个结果

    • Linear Regression and Modeling by Duke University

      Linear Regression and Modeling

      Duke University
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.7(满分 5 星)。1576 条评论
      4.7(1,576)
      83k 名学生
      Beginner Level
      Beginner
    • Regression Models by Johns Hopkins University

      Regression Models

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.4(满分 5 星)。3298 条评论
      4.4(3,298)
      130k 名学生
      Mixed Level
      Mixed
    • Linear Regression for Business Statistics by Rice University

      Linear Regression for Business Statistics

      Rice University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。1261 条评论
      4.8(1,261)
      37k 名学生
      Mixed Level
      Mixed
    • Advanced Linear Models for Data Science 2: Statistical Linear Models by Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。78 条评论
      4.5(78)
      21k 名学生
      Advanced Level
      Advanced
    • Predicting Salaries with Simple Linear Regression in R by Coursera Project Network

      Predicting Salaries with Simple Linear Regression in R

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。196 条评论
      4.3(196)
      7.3k 名学生
      Beginner Level
      Beginner
    • Placeholder

      Linear Regression with NumPy and Python

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。876 条评论
      4.5(876)
      18k 名学生
      Intermediate Level
      Intermediate
    • Placeholder

      Machine Learning

      Stanford University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.9(满分 5 星)。169833 条评论
      4.9(169,833)
      4.8 分钟 名学生
      Mixed Level
      Mixed
    • Placeholder

      University Admission Prediction Using Multiple Linear Regression

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。175 条评论
      4.6(175)
      6k 名学生
      Intermediate Level
      Intermediate
    • Placeholder

      Linear Regression with Python

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。413 条评论
      4.6(413)
      10k 名学生
      Intermediate Level
      Intermediate
    • Placeholder

      Linear Regression in R for Public Health

      Imperial College London
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。412 条评论
      4.8(412)
      11k 名学生
      Intermediate Level
      Intermediate
    • Placeholder

      The Classical Linear Regression Model

      Queen Mary University of London
      课程
      Beginner Level
      Beginner
    • Placeholder

      Simple Linear Regression for the Absolute Beginner

      Coursera Project Network

      新

      指导项目
      Beginner Level
      Beginner
    • Placeholder

      Multiple Linear Regression with scikit-learn

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。336 条评论
      4.5(336)
      7.6k 名学生
      Beginner Level
      Beginner
    • Placeholder

      Building and analyzing linear regression model in R

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。32 条评论
      4.5(32)
      Beginner Level
      Beginner
    • Placeholder

      Linear Regression and Multiple Linear Regression in Julia

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4.2(满分 5 星)。13 条评论
      4.2(13)
      Beginner Level
      Beginner
    • Placeholder

      Building Statistical Models in R: Linear Regression

      Coursera Project Network

      新

      指导项目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.4(满分 5 星)。7 条评论
      4.4(7)
      Beginner Level
      Beginner
    • Placeholder

      Precalculus through Data and Modelling

      Johns Hopkins University
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。146 条评论
      4.6(146)
      8.9k 名学生
      Beginner Level
      Beginner
    • Placeholder

      Statistical Modeling for Data Science Applications

      University of Colorado Boulder
      专项课程
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4.2(满分 5 星)。14 条评论
      4.2(14)
      3.7k 名学生
      Intermediate Level
      Intermediate
    • Placeholder

      AI for Scientific Research

      LearnQuest
      专项课程
      Filled StarFilled StarFilled StarHalf Filled StarStar
      评分为 3.4(满分 5 星)。26 条评论
      3.4(26)
      2.1k 名学生
      Beginner Level
      Beginner
    • Placeholder

      SAS Statistical Business Analyst

      SAS
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。86 条评论
      4.6(86)
      6.6k 名学生
      Intermediate Level
      Intermediate

    与 linear regression 相关的搜索

    linear regression and modeling
    linear regression with numpy and python
    linear regression for business statistics
    linear regression in r for public health
    linear regression with python
    linear regression and multiple linear regression in julia
    multiple linear regression with scikit-learn
    simple linear regression for the absolute beginner
    1234…6

    总之,这是我们最受欢迎的 linear regression 门课程中的 10 门

    • Linear Regression and Modeling: Duke University
    • Regression Models: Johns Hopkins University
    • Linear Regression for Business Statistics: Rice University
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Predicting Salaries with Simple Linear Regression in R: Coursera Project Network
    • Linear Regression with NumPy and Python: Coursera Project Network
    • Machine Learning: Stanford University
    • University Admission Prediction Using Multiple Linear Regression: Coursera Project Network
    • Linear Regression with Python: Coursera Project Network
    • Linear Regression in R for Public Health: Imperial College London

    您可以在 Probability And Statistics 中学到的技能

    R 语言程序设计(中文版) (19)
    推断 (16)
    线性回归 (12)
    统计分析 (12)
    统计推断 (11)
    回归分析 (10)
    生物统计学 (9)
    贝叶斯定理 (7)
    逻辑回归 (7)
    概率分布 (7)
    贝叶斯统计 (6)
    医学统计 (6)

    关于 Linear Regression 的常见问题

    • Linear regression is a type of statistical data analysis that examines which variables help significantly predict the outcome of a situation. You can use linear regression to determine the relationships between one dependent variable and one or more independent variables to sort out which variables will contribute most to the outcome you seek to achieve. Linear regression also helps you forecast the impact that changes to variables will make in different scenarios. It's a tool you can use to help predict outcomes and make adjustments to help achieve the outcome you're looking for.‎

    • If you're in a career that relies on data analysis, linear regression is a tool that can help you determine the relationship between variables that affect scenarios that you need to predict or plan for. You can use linear regression to anticipate how the factors that affect a situation now will make a difference in the future. For example, you can use linear regression to predict the cost of a project or the amount of time it will take to complete the project based on different variables. Linear regression can help you make more informed and educated decisions to better navigate the present and plan for the future.‎

    • Data analysts use linear regression in different areas of business to determine which variables affect outcomes the most. You can apply linear regression as a data scientist or analyst with a single company or in a consultant role across multiple businesses. You can even set up your own business as a consultant to be in control of your own schedule and career trajectory. Analysts use linear regression in polling and surveys as well as in policy research fields, and various corporations use data analysis to help plan for the future. You can also apply your knowledge of linear regression in higher education and as a professor or research assistant.‎

    • You can use online courses to learn linear regression in order to deepen your knowledge and skills in your current job or to find a new career. Whether you're already familiar with linear regression or whether you're brand new to the concept, online courses can give you the knowledge you need to apply linear regression in your workplace. Online courses not only teach you the concepts, but they also provide you with real-life applications of what you're learning. One of the biggest benefits of online learning is that you can sharpen your skills in a way that fits your schedule and lifestyle. You can walk away from your online learning confident in what you've discovered about linear regression and prepared to apply it to your career.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
    其他可浏览的主题
    Placeholder
    艺术与人文
    338 课程
    Placeholder
    商务
    1095 课程
    Placeholder
    计算机科学
    668 课程
    Placeholder
    数据科学
    425 课程
    Placeholder
    信息技术
    145 课程
    Placeholder
    健康
    471 课程
    Placeholder
    数学和逻辑
    70 课程
    Placeholder
    个人发展
    137 课程
    Placeholder
    物理科学与工程
    413 课程
    Placeholder
    社会科学
    401 课程
    Placeholder
    语言学习
    150 课程

    Coursera Footer

    开拓职业生涯或促进职业发展

    • Google 数据分析师
    • Google 项目管理
    • Google UX 设计
    • Google IT 支持
    • IBM 数据科学
    • IBM 数据分析师
    • 使用 Excel 和 R 的 IBM 数据分析
    • IBM Cybersecurity Analyst
    • IBM 数据工程
    • IBM 全栈云开发人员
    • Facebook 社交媒体营销
    • Facebook 市场营销分析
    • Salesforce 销售发展代表
    • Salesforce 销售运营
    • 直觉簿记
    • 备考 Google Cloud 认证:云架构师
    • 备考 Google Cloud 认证:云数据工程师
    • 开启您的职业生涯
    • 准备证书
    • 开拓职业生涯

    浏览热门主题

    • 免费课程
    • 学习语言
    • python
    • Java
    • 网页设计
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • 项目管理
    • 网络安全
    • 人力资源
    • 数据科学免费课程
    • 说英语
    • 内容写作
    • 全栈网络开发
    • 人工智能
    • C 语言程序设计
    • 沟通技能
    • 区块链
    • 查看全部课程

    热门课程和文章

    • 适用于数据科学团队的技能
    • 数据驱动的决策
    • 软件工程技能
    • 工程团队所需的软技能
    • 管理技能
    • 营销技能
    • 销售团队所需的技能
    • 产品经理技能
    • 财务技能
    • 英国的热门数据科学课程
    • Beliebte Technologiekurse in Deutschland
    • 热门网络安全证书
    • 热门 IT 证书
    • 热门 SQL 证书
    • 营销经理职业指南
    • 项目经理职业指南
    • Python 程序设计技能
    • Web 开发者职业指南
    • 数据分析师技能
    • 用户体验设计师方面的技能

    在线获得学位或证书

    • MasterTrack® 证书
    • 专业证书
    • 大学证书
    • MBA 和商学学位
    • Data Science Degrees
    • Computer Science Degrees
    • 数据分析师学位
    • 公共卫生学位
    • 社会科学学位
    • 管理学位
    • 欧洲顶级大学学位
    • 硕士学位
    • 学士学位
    • 具有成绩录取途径的学位
    • 学士学位课程
    • 什么是学士学位?
    • 取得硕士学位需要多长时间?
    • 在线获取 MBA 有什么价值?
    • 报名研究生院的 7 种付费方式
    • 查看所有证书

    Coursera

    • 关于
    • 我们提供的内容
    • 管理团队
    • 工作机会
    • 目录
    • Coursera Plus
    • 专业证书
    • MasterTrack® 证书
    • 学位
    • 企业版
    • 政府版
    • 面向校园
    • 成为合作伙伴
    • 新冠疫情响应

    社区

    • 学生
    • 合作伙伴
    • 开发者
    • Beta 测试人员
    • 专业译员
    • 博客
    • 技术博客
    • 教学中心

    更多

    • 媒体
    • 投资者
    • 条款
    • 隐私
    • 帮助
    • 内容访问
    • 联系我们
    • 文章
    • 目录
    • 附属公司
    随时随地学习
    通过 App Store 下载通过 Google Play 获取
    Placeholder
    © 2022 Coursera Inc.保留所有权利。
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder