Coursera
  • 在线学位探索学士学位和硕士学位
  • MasterTrack™获得硕士学位的学分
  • 大学证书通过研究生水平的学习,开拓您的职业生涯
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
    • Statistical Analysis

    筛选依据

    ''statistical analysis'的 1897 个结果

    • Placeholder
      Imperial College London

      Statistical Analysis with R for Public Health

      您将获得的技能: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Programming, Mathematics, Statistical Tests, R Programming, Probability Distribution, Correlation And Dependence, Basic Descriptive Statistics, Econometrics, Estimation, Bayesian Statistics, Exploratory Data Analysis, Critical Thinking, Data Analysis Software, Forecasting

      4.7

      (1.7k 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      University of Michigan

      Inferential Statistical Analysis with Python

      您将获得的技能: Probability & Statistics, Business Analysis, Computer Programming, General Statistics, Statistical Programming, Python Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Basic Descriptive Statistics, Data Analysis Software, Mathematics

      4.6

      (838 条评论)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      您将获得的技能: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, SAS (Software), Statistical Analysis, Statistical Programming, Statistical Tests, Regression, Correlation And Dependence, Advertising, Algebra, Communication, Journalism, Marketing

      4.6

      (80 条评论)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Coursera Project Network

      Visualization for Statistical Analysis

      您将获得的技能: Exploratory Data Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Coursera Project Network

      Statistical Analysis using Python Numpy

      您将获得的技能: Business Analysis, Computer Programming, Data Analysis, Probability & Statistics, Python Programming, Statistical Programming

      4.5

      (13 条评论)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Google

      Google Data Analytics

      您将获得的技能: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (101.7k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Science

      您将获得的技能: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (106.2k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Analyst

      您将获得的技能: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.8k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      您将获得的技能: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (52.7k 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Engineering

      您将获得的技能: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.4k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Applied Data Science

      您将获得的技能: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (43.2k 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Analytics with Excel and R

      您将获得的技能: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.8k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    与 statistical analysis 相关的搜索

    statistical analysis with r for public health
    statistical analysis using python numpy
    inferential statistical analysis with python
    introduction to statistical analysis: hypothesis testing
    visualization for statistical analysis
    business statistics and analysis
    sas statistical business analyst
    business statistics and analysis capstone
    1234…84

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

    • Statistical Analysis with R for Public Health: Imperial College London
    • Inferential Statistical Analysis with Python: University of Michigan
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Visualization for Statistical Analysis: Coursera Project Network
    • Statistical Analysis using Python Numpy: Coursera Project Network
    • Google Data Analytics: Google
    • IBM Data Science: IBM Skills Network
    • IBM Data Analyst: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network

    您可以在 Business Essentials 中学到的技能

    分析 (37)
    演示 (33)
    建模 (29)
    商业分析 (27)
    语言 (26)
    Microsoft Excel (26)
    写作 (26)
    演讲 (18)
    计划 (17)
    业务沟通 (16)
    决策 (16)
    管理团队 (15)

    关于 统计分析 的常见问题

    • Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.‎

    • Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.‎

    • A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.‎

    • From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.‎

    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 数字营销和电子商务专业证书
    • Google IT 自动化与 Python 专业证书
    • Google IT 支持
    • Google 项目管理
    • Google UX 设计
    • 备考 Google Cloud 认证:云架构师
    • IBM Cybersecurity Analyst
    • IBM 数据分析师
    • IBM 数据工程
    • IBM 数据科学
    • IBM 全栈云开发人员
    • IBM Machine Learning
    • 直觉簿记
    • Meta Front-End Developer
    • DeepLearning.AI TensorFlow 开发者专业证书
    • SAS 程序员专业证书
    • 开启您的职业生涯
    • 准备证书
    • 开拓职业生涯
    • 如何识别 Python 语法错误
    • 如何捕捉 Python 异常
    • 查看所有编程教程

    热门课程和证书

    • 免费课程
    • 人工智能课程
    • 区块链课程
    • 计算机科学课程
    • Cursos Gratis
    • 网络安全课程
    • 数据分析课程
    • 数据科学课程
    • 英语口语课程
    • 全栈式网络开发课程
    • Google 课程
    • 人力资源课程
    • IT 课程
    • 学习英语课程
    • Microsoft Excel 课程
    • 产品管理课程
    • 项目管理课程
    • Python 课程
    • SQL 课程
    • 敏捷证书
    • CAPM 证书
    • CompTIA A+ 证书
    • 数据分析证书
    • Scrum Master 证书
    • 查看全部课程

    热门收藏和文章

    • 您可以在一天内完成的免费在线课程
    • 热门免费课程
    • 商务工作
    • 网络安全工作
    • 入门 IT 工作
    • 数据分析师面试问题
    • 数据分析工程
    • 如何成为数据分析师
    • 如何成为项目经理
    • IT 技能
    • 项目经理面试问题
    • Python 程序设计技能
    • 面试中的优势和劣势
    • 数据分析师是做什么的
    • 软件工程师是做什么的
    • 什么是数据工程师
    • 什么是数据科学家
    • 什么是产品设计师
    • 什么是 Scrum Master
    • 什么是用户体验研究员
    • 如何获得 PMP 证书
    • PMI 证书
    • 热门网络安全证书
    • 热门 SQL 证书
    • 阅读所有 Coursera 文章

    在线获得学位或证书

    • Google 专业证书
    • 专业证书
    • 查看所有证书
    • 学士学位
    • 硕士学位
    • Computer Science Degrees
    • Data Science Degrees
    • MBA 和商学学位
    • 数据分析师学位
    • 公共卫生学位
    • 社会科学学位
    • 管理学位
    • 文学学位与理学学位
    • 什么是学士学位?
    • 要培养的 11 个良好的学习习惯
    • 如何撰写推荐信
    • 拥有商学学位可以从事的 10 个热门工作
    • 计算机科学硕士值得读吗?
    • 查看所有学位计划
    • Coursera 印度
    • Coursera 英国
    • Coursera 墨西哥

    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
    • 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
    • 现代奴隶制声明
    随时随地学习
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc.保留所有权利。
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder