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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

    • S

      Sungkyunkwan University

      Machine Learning for Smart Beta

      Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Science Decisions in Time: Using Data Effectively

      Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Decision Tree Learning, Markov Model, Data Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Оптимизация портфеля с помощью модели Марковица

      Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Advanced Semantic Processing

      Skills you'll gain: Natural Language Processing, Semantic Web, Data Processing, Text Mining, Applied Machine Learning, Dimensionality Reduction, Unstructured Data, Artificial Neural Networks, Feature Engineering, Linear Algebra, Unsupervised Learning, Statistical Methods

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Amazon Web Services, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Construção de Relacionamentos em Vendas Orientada a Dados

      Skills you'll gain: Sales Strategy, Sales, Customer Analysis, Regression Analysis, Product Knowledge, Cross Selling, Personalized Service, Data Analysis, Predictive Analytics, Forecasting, Business Metrics, Machine Learning Methods

      Beginner · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Asset Pricing Models

      Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Financial Market, Finance, Fixed Asset, Risk Modeling, Derivatives, Asset Management, Capital Markets, Statistical Methods, Financial Analysis, Return On Investment, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting, Estimation

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Compare Models with Experiments in Azure ML Studio

      Skills you'll gain: Jupyter, Plot (Graphics), Microsoft Azure, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Visualization, Machine Learning, Regression Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence, Data Mining, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Supervised Learning, Unsupervised Learning, Feature Engineering, Random Forest Algorithm, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

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    1…646566…72

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

    • Machine Learning for Smart Beta: Sungkyunkwan University
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
    • Оптимизация портфеля с помощью модели Марковица: Coursera Project Network
    • Advanced Semantic Processing: Packt
    • Auto Machine Learning (AutoML) Using AutoGluon : Coursera Project Network
    • Construção de Relacionamentos em Vendas Orientada a Dados: Fundação Instituto de Administração
    • Asset Pricing Models: Università di Napoli Federico II
    • Compare Models with Experiments in Azure ML Studio: Coursera Project Network
    • Intermediate Data Manipulation and Machine Learning: Packt

    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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