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    • Regression Analysis

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    475 results for "regression analysis"

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      Johns Hopkins University

      Simple Regression Analysis in Public Health

      Skills you'll gain: Probability & Statistics, Regression, Biostatistics, General Statistics, Business Analysis, Data Analysis, Statistical Analysis

      4.7

      (335 reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Multiple Regression Analysis in Public Health

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Biostatistics, Business Analysis, Data Analysis, Statistical Analysis, Econometrics, Experiment

      4.7

      (265 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Illinois at Urbana-Champaign

      Data Modeling and Regression Analysis in Business

      Skills you'll gain: Data Management, Probability & Statistics, Statistical Programming, Accounting, Statistical Analysis

      4.3

      (52 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Probability & Statistics, Regression, General Statistics, Business Analysis, Data Analysis, Statistical Analysis, Econometrics, Statistical Tests, R Programming, SQL

      4.3

      (19 reviews)

      Intermediate · Course · 1-3 Months

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      University of California, Irvine

      Predictive Modeling, Model Fitting, and Regression Analysis

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression

      4.4

      (49 reviews)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Regression Analysis with Yellowbrick

      Skills you'll gain: Machine Learning, Advertising, Communication, Data Science, Marketing, Python Programming

      4.6

      (79 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing, Business Analysis, Market Analysis, Brand Management, Communication, Customer Analysis, Market Research, Marketing Management, Research and Design, Benefits, Change Management, Compensation, Conflict Management, Correlation And Dependence, Customer Relationship Management, Digital Marketing, FinTech, Finance, Financial Management, HR Tech, Human Resources Operations, Investment Management, Leadership Development, Marketing Design, Mergers & Acquisitions, Payments, Probability & Statistics, Professional Development, Recruitment, Regression, Regulations and Compliance, Risk Management, Securities Sales, Securities Trading, Statistical Analysis, Talent Management, Underwriting, Entrepreneurship, Experiment, General Statistics, Leadership and Management, Sales, Strategy, Strategy and Operations

      4.7

      (6.3k reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Experiment, Business Analysis, Data Analysis, Statistical Analysis, Mathematics, Statistical Tests, Econometrics, Machine Learning, Machine Learning Algorithms, Calculus, Communication, Linear Algebra, Marketing, R Programming, SQL

      4.1

      (31 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Michigan

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

      Skills you'll gain: Data Analysis, Probability & Statistics, Business Analysis, Statistical Analysis, General Statistics, Computer Programming, Correlation And Dependence, Data Visualization, Plot (Graphics), Python Programming, Regression, Statistical Programming, Econometrics

      4.4

      (129 reviews)

      Mixed · Course · 1-3 Months

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      IBM Skills Network

      Statistics for Data Science with Python

      Skills you'll gain: General Statistics, Probability & Statistics, Data Analysis, Business Analysis, Statistical Analysis, Probability Distribution, Statistical Tests, Basic Descriptive Statistics, Correlation And Dependence, Data Visualization, Plot (Graphics), Regression, Statistical Visualization

      4.5

      (291 reviews)

      Mixed · Course · 1-3 Months

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      Johns Hopkins University

      Regression Models

      Skills you'll gain: Basic Descriptive Statistics, Correlation And Dependence, Data Analysis, Econometrics, Estimation, General Statistics, Linear Algebra, Probability & Statistics, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Data Science, Probability Distribution, Business Analysis

      4.4

      (3.3k reviews)

      Mixed · Course · 1-4 Weeks

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      Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: General Statistics, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression, R Programming, Statistical Programming, Bayesian Statistics

      4.8

      (329 reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to regression analysis

    regression analysis with yellowbrick
    multiple regression analysis in public health
    modern regression analysis in r
    simple regression analysis in public health
    data modeling and regression analysis in business
    predictive modeling, model fitting, and regression analysis
    data analysis in r: predictive analysis with regression
    building and analyzing linear regression model in r
    1234…40

    In summary, here are 10 of our most popular regression analysis courses

    • Simple Regression Analysis in Public Health: Johns Hopkins University
    • Multiple Regression Analysis in Public Health: Johns Hopkins University
    • Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
    • Regression Analysis with Yellowbrick: Coursera Project Network
    • Marketing Analytics: University of Virginia
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Statistics for Data Science with Python: IBM Skills Network

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Regression Analysis

    • 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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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