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  • Linear Regression

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: New
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    E

    Edureka

    Explainable AI for Everyone

    Skills you'll gain: Responsible AI, Technical Communication, Data Ethics, Model Evaluation, Interactive Data Visualization, Data Storytelling, Machine Learning, Data Visualization, Feature Engineering, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Regression Analysis, Decision Tree Learning, Trustworthiness, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Statistical Methods, Stakeholder Analysis, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    U

    University of Pittsburgh

    Applied Bayesian Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Mathematical Modeling, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Sampling (Statistics), Machine Learning, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Colorado Boulder

    Fundamentals of Orbit Determination

    Skills you'll gain: Estimation, Global Positioning Systems, Mathematical Modeling, Differential Equations, Numerical Analysis, Applied Mathematics, Simulations, Linear Algebra, Probability & Statistics, Statistical Methods, Mechanics, Calculus, Probability Distribution, Physics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    California Institute of the Arts

    Introduction to Typography

    Skills you'll gain: Typography, Graphic Design, Graphic and Visual Design, Layout Design, Design, Art History, Visual Design, Information Architecture, Design Elements And Principles, Design Strategies, Design Research, Peer Review, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    California Institute of the Arts

    UI / UX Design

    Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), User Experience, Mockups, User Experience Design, UI/UX Strategy, Responsive Web Design, Web Design, User Interface (UI), User Interface (UI) Design, Adobe XD, User Centered Design, Interaction Design, Prototyping, Web Design and Development, Visual Design, Graphic Design, User Research

    4.7
    Rating, 4.7 out of 5 stars
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    8.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    468 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Data Literacy, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Explainable AI for Everyone: Edureka
  • IBM Machine Learning: IBM
  • Applied Bayesian Data Analysis: University of Pittsburgh
  • Introduction to Machine Learning: Duke University
  • Fundamentals of Orbit Determination: University of Colorado Boulder
  • Introduction to Typography: California Institute of the Arts
  • UI / UX Design: California Institute of the Arts
  • Supervised Machine Learning: Classification: IBM
  • Machine Learning: Classification: University of Washington
  • Biostatistics in Public Health: Johns Hopkins 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)

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