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Linear Regression Courses

Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.


Popular Linear Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Quantum Mechanics for Engineers

    Skills you'll gain: Electrical Engineering, Numerical Analysis, Linear Algebra, Physics, Angular, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Calculus, Differential Equations, Simulations, Physical Science

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    105 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidade de São Paulo

    Econometria Básica Aplicada

    Skills you'll gain: Econometrics, Statistical Inference, Regression Analysis, Statistical Hypothesis Testing, Economics, Statistical Analysis, Correlation Analysis, Mathematical Modeling, Time Series Analysis and Forecasting, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    172 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    326 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Think Again II: How to Reason Deductively

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Diagram Design, Information Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    411 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Visualization, Matplotlib, Data Literacy, Tableau Software, Data Presentation, Data Visualization Software, Data Preprocessing, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Seaborn, Classification Algorithms, Excel Macros, SQL, Predictive Modeling, Machine Learning, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    579 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Mathematical Software, Numerical Analysis, Programming Principles, Computer Architecture, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    188 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Diseño de Experiencia del Usuario (UX) de Google

    Skills you'll gain: Storyboarding, User Experience Design, Design Reviews, Figma (Design Software), UI/UX Research, Graphic and Visual Design, Wireframing, User Story, Usability Testing, Information Architecture, Mockups, Adobe XD, Ideation, Responsive Web Design, Layout Design, User Experience, Design Elements And Principles, User Research, User Interface and User Experience (UI/UX) Design, User Centered Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • The Complete Quantum Computing Course for Beginners: Packt
  • Quantum Mechanics for Engineers: University of Colorado Boulder
  • Econometria Básica Aplicada: Universidade de São Paulo
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Think Again II: How to Reason Deductively: Duke University
  • Guided Tour of Machine Learning in Finance: New York University
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Accounting Data Analytics: University of Illinois Urbana-Champaign

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)

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