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    • Linear Regression

    Linear Regression Courses Online

    Explore linear regression for statistical modeling. Learn to analyze relationships between variables and make predictions based on data.

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    Explore the Linear Regression Course Catalog

    • C

      Coursera Project Network

      Simple Parallel Coordinates Plot using d3 js

      Skills you'll gain: Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a Website Map with Jumpchart

      Skills you'll gain: Wireframing, Mockups, Web Design, Information Architecture, Collaborative Software, User Experience Design, Content Management

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Advanced Java Concepts and Collections

      Skills you'll gain: Selenium (Software), JUnit, Test Automation, Software Testing, Browser Compatibility, Test Data, Test Case, Software Quality Assurance, Regression Testing, HTML and CSS, Java Programming, Hypertext Markup Language (HTML), Web Development Tools, Object Oriented Programming (OOP), Data Structures, Cascading Style Sheets (CSS), Debugging

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Job Shop Scheduling Using MILP Optimization on RStudio

      Skills you'll gain: R Programming, Analysis, Mathematical Software

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Fundamentos de sistemas recomendadores

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Predictive Modeling, Statistical Machine Learning, Dimensionality Reduction, Analysis, Linear Algebra, Content Management, Text Mining

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Predicting Extreme Climate Behavior with Machine Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      Universidades Anáhuac

      Ciencia de Datos Aplicada al Marketing

      Skills you'll gain: Data Processing, Data Analysis, Regression Analysis, SPSS, Marketing Analytics, Market Research, Business Intelligence, Statistical Analysis, Data Mining, Data-Driven Decision-Making, Quantitative Research, Exploratory Data Analysis, Market Analysis, Marketing Strategies, Consumer Behaviour, Microsoft Excel

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Neural Networks, Visualization (Computer Graphics), Artificial Intelligence

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Conocimiento:Una herramienta para la ingeniería y la gestión

      Skills you'll gain: Decision Making, Knowledge Transfer, Communication, Mediation, Complex Problem Solving, Analysis, Systems Thinking, Information Architecture, Organizational Structure, Cultural Diversity

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California, Irvine

      데이터 스토리텔링

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

      Mixed · Course · 1 - 4 Weeks

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    1…656667…73

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

    • Simple Parallel Coordinates Plot using d3 js: Coursera Project Network
    • Build a Website Map with Jumpchart: Coursera Project Network
    • Advanced Java Concepts and Collections: Packt
    • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera Project Network
    • Fundamentos de sistemas recomendadores: Pontificia Universidad Católica de Chile
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
    • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
    • Ciencia de Datos Aplicada al Marketing: Universidades Anáhuac
    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka

    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 Linear Regression

    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.‎

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

    When looking to enhance your workforce's skills in Linear Regression, 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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