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    • Regression Analysis

    필터링 기준

    "regression analysis"에 대한 266개의 결과

    • Johns Hopkins University

      Johns Hopkins University

      Simple Regression Analysis in Public Health

      획득할 기술: General Statistics, Probability & Statistics, Biostatistics, Analysis, Linearity, Regression, Regression Analysis, Logistic Regression, Mathematics, Linear Regression

      4.7

      (316개의 검토)

      Beginner · Course

    • Johns Hopkins University

      Johns Hopkins University

      Multiple Regression Analysis in Public Health

      획득할 기술: General Statistics, Experiment, Biostatistics, Analysis, Econometrics, Mathematics, Probability & Statistics, Algebra, Regression, Supply Chain and Logistics, Probability

      4.7

      (253개의 검토)

      Beginner · Course

    • University of Colorado Boulder

      University of Colorado Boulder

      Modern Regression Analysis in R

      획득할 기술: General Statistics, Communication, Marketing, Probability & Statistics, Analysis, Advertising, Algebra, Econometrics, Mathematics, Regression, Regression Analysis

      4.4

      (11개의 검토)

      Intermediate · Course

    • Coursera Project Network

      Coursera Project Network

      Regression Analysis with Yellowbrick

      획득할 기술: Communication, General Statistics, Advertising, Probability & Statistics, Marketing, Regression

      4.6

      (77개의 검토)

      Intermediate · Guided Project

    • University of California, Irvine

      University of California, Irvine

      Predictive Modeling, Model Fitting, and Regression Analysis

      획득할 기술: Randomness, General Statistics, Business Analysis, Supply Chain Systems, Big Data, Machine Learning, Probability & Statistics, Analysis, Supervision, Data Analysis, Theoretical Computer Science, Data Structures, Supply Chain and Logistics, Algebra, Exploratory Data Analysis, Algorithms, Data Management, Regression

      4.3

      (36개의 검토)

      Intermediate · Course

    • University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Data Modeling and Regression Analysis in Business

      획득할 기술: Communication, General Statistics, Analysis, Data Analysis, R Programming, Analytics, Big Data, Business Analysis, Data Visualization, Marketing, Probability & Statistics, Supply Chain and Logistics, Data Management, Business Analytics, Advertising, Regression, Theoretical Computer Science, Statistical Programming, Algorithms, Statistical Analysis

      4.3

      (52개의 검토)

      Intermediate · Course

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      Johns Hopkins University

      Johns Hopkins University

      Data Science

      획득할 기술: Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Knitr, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Plot (Graphics), Probability & Statistics, R Programming, Regression, Regression Analysis, Software Engineering Tools, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.5

      (49.1k개의 검토)

      Beginner · Specialization

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      University of Michigan

      University of Michigan

      Sports Performance Analytics

      획득할 기술: Analysis, Analytics, Basic Descriptive Statistics, Bayesian Statistics, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Critical Thinking, Data Analysis, Data Management, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graphic Design, Marketing, Pandas, Probability & Statistics, Python Programming, Regression, Regression Analysis, Research and Design, Statistical Analysis, Statistical Programming, Strategy and Operations

      4.4

      (114개의 검토)

      Intermediate · Specialization

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      University of Pennsylvania

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      획득할 기술: Leadership and Management, Entrepreneurship, Market Research, General Statistics, Strategy, Sales, Product Management, Analysis, Modeling, Probability & Statistics, Mathematics, Probability, Marketing, Research and Design, Design and Product, Strategy and Operations, Product Marketing, Regression Analysis

      4.6

      (7.9k개의 검토)

      Mixed · Course

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      University of Virginia

      University of Virginia

      Marketing Analytics

      획득할 기술: Entrepreneurship, Market Analysis, Leadership and Management, Stock, Probability & Statistics, Analysis, Experiment, Analytics, Big Data, Brand, Marketing, Strategy and Operations, General Statistics, Sales, Regression Analysis, Strategy, Regression, Brand Management, Market (Economics)

      4.7

      (6.1k개의 검토)

      Beginner · Course

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      Johns Hopkins University

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      획득할 기술: Analysis, Business Analysis, Data Analysis, Data Visualization, Econometrics, Experiment, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Plot (Graphics), Probability & Statistics, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.4

      (7k개의 검토)

      Intermediate · Specialization

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      University of Michigan

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      획득할 기술: Graphic Design, Communication, Extract, Transform, Load, Python Programming, General Statistics, Econometrics, Analysis, Modeling, Analytics, Statistical Analysis, Data Visualization, Data Analysis, Marketing, Business Analysis, Statistical Programming, Regression Analysis, Data Management, Probability & Statistics, Computer Programming, Computer Graphic Techniques, Computer Graphics

      4.4

      (86개의 검토)

      Mixed · Course

    regression analysis과(와) 관련된 검색

    regression analysis with yellowbrick
    modern regression analysis in r
    simple regression analysis in public health
    multiple regression analysis in public health
    data modeling and regression analysis in business
    predictive modeling, model fitting, and regression analysis
    building and analyzing linear regression model in r
    1234…23

    요약하자면, 여기에 가장 인기 있는 regression analysis 강좌 10개가 있습니다.

    • Simple Regression Analysis in Public Health: Johns Hopkins University
    • Multiple Regression Analysis in Public Health: Johns Hopkins University
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Regression Analysis with Yellowbrick: Coursera Project Network
    • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
    • Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
    • Data Science: Johns Hopkins University
    • Sports Performance Analytics: University of Michigan
    • Fundamentals of Quantitative Modeling: University of Pennsylvania
    • Marketing Analytics: University of Virginia

    Probability And Statistics에서 학습할 수 있는 스킬

    R 프로그래밍 (19)
    추정 (16)
    선형 회귀 (12)
    통계 분석 (12)
    통계적 추론 (11)
    생물 통계학 (9)
    베이지안 (7)
    로지스틱 회귀 (7)
    확률 분포 (7)
    베이지안 통계 (6)
    의료 통계학 (6)

    회귀 분석에 대한 자주 묻는 질문

    • Regression analysis is a mathematical process in statistics that allows you to discover trends in the data you're examining. Regression analysis allows you to determine the relationship between the outcome of a situation and the variables that affect that outcome. You can use regression analysis to sort out the dependent and independent variables that make a larger difference in the outcome and those that don't affect the outcome as much. It also allows you to make educated judgments on which factors to ignore and which factors matter most when it comes to planning and decision making.‎

    • It's important to learn about regression analysis because it will help you understand the relationship between outcomes and the factors that determine those outcomes. Regression analysis is a flexible form of analysis that has applications across different disciplines. You can use regression analysis to build a business plan, develop a nutrition and workout regimen, research sociological and psychological issues, or one of many other decisions that you may need to make. Regression analysis allows you to zero in on the variables that factor most into your discipline.‎

    • A firm understanding of regression analysis allows you to make better projections and decisions because you're able to see which factors affect an outcome more than others. Regression analysis allows you to understand how different scenarios play out because you know which variables make a difference in your line of work. Because regression analysis works across various disciplines that rely on data, such as finance and investing, you can apply it in a number of different careers, which means it's a concept that serves you well no matter where you work.‎

    • Online courses help you develop your knowledge of regression analysis and how to apply it in your career. You can use online courses to help you understand regression analysis if you've never applied it before or if you have a passing familiarity with it. You can learn the basic concepts with online courses, or you can take a more in-depth approach to what regression analysis can do for your business. One of the best things about taking online courses to learn about regression analysis is that you can learn at a pace and on a schedule that works best for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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