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    Results for "regression analysis"

    • Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Statistical Programming, Advanced Analytics, Sample Size Determination, Simulations, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Plot (Graphics), Descriptive Statistics, Graphing, Graphical Tools

      Beginner · Course · 3 - 6 Months

    • Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111K reviews

      Beginner · Specialization · 3 - 6 Months

    • IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Data Visualization, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Johns Hopkins University

      Reproducible Research

      Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Rice University

      Business Statistics and Analysis Capstone

      Skills you'll gain: Business Analytics, Statistical Analysis, Data Analysis, Data Presentation, Statistics, Analytical Skills, Technical Communication, Exploratory Data Analysis, Regression Analysis, Business, Strategic Partnership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      435 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      100 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder

      SAS

      Regression Modeling Fundamentals

      Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

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      Duke University

      Mastering Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Probability Distribution, Business Risk Management, Predictive Modeling, Regression Analysis, Business Analytics, Statistical Methods, Forecasting, Data Analysis, Probability, Classification And Regression Tree (CART), Financial Analysis, Performance Metric

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 3 Months

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      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to regression analysis

    regression analysis: simplify complex data relationships
    regression analysis for statistics & machine learning in r
    regression analysis - fundamentals & practical applications
    modern regression analysis in r
    simple regression analysis in public health
    multiple regression analysis in public health
    predictive modeling, model fitting, and regression analysis
    data analysis in r: predictive analysis with regression
    1…789…533

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

    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Data Science Foundations: IBM
    • Data Analysis and Visualization Foundations: IBM
    • Statistical Analysis with R for Public Health: Imperial College London
    • Reproducible Research: Johns Hopkins University
    • Business Statistics and Analysis Capstone: Rice University
    • IBM Data Analytics with Excel and R: IBM
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Regression Modeling Fundamentals: SAS
    • Mastering Data Analysis in Excel: Duke University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    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.‎

    Online Regression Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Regression Analysis skills. Choose from a wide range of Regression Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Regression Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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