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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


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    T

    The Hong Kong University of Science and Technology

    Mastering Statics

    Skills you'll gain: Structural Engineering, Structural Analysis, Torque (Physics), Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Mechanical Design, Engineering Analysis, Engineering, Engineering Drawings, Physics, Linear Algebra, Geometry, Trigonometry, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
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    240 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    John Wiley & Sons

    Core Machine Learning Algorithms and Model Validation

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Model Training, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning Software, Statistical Modeling, Predictive Modeling, Supervised Learning, Machine Learning, Python Programming, Unsupervised Learning, Data Science, Predictive Analytics, Data Preprocessing, Algorithms, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    U

    University of Colorado Boulder

    Mastering Classic Reinforcement Learning Algorithms

    Skills you'll gain: Reinforcement Learning, Markov Model, Machine Learning Algorithms, Decision Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Statistical Machine Learning, Sampling (Statistics), Applied Mathematics, Model Optimization, Probability Distribution, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    N

    National Taiwan University

    Operations Research (2): Optimization Algorithms

    Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Model Optimization, Algorithms, Program Implementation, Mathematical Software, Computational Thinking, Mathematical Modeling, Resource Allocation, Decision Making, Calculus, Business Analytics

    4.9
    Rating, 4.9 out of 5 stars
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    162 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Algorithms, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
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    851 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Applied Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    269 reviews

    Advanced · Course · 1 - 4 Weeks

  • 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
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    99 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
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    297 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Mindware: Critical Thinking for the Information Age

    Skills you'll gain: Logical Reasoning, Data Analysis, Deductive Reasoning, Analytical Skills, Analysis, Experimentation, Critical Thinking, Data Literacy, Critical Thinking and Problem Solving, Statistical Methods, Bayesian Statistics, Science and Research, Research Design, Behavioral Economics, Decision Making, Cognitive flexibility, Regression Analysis, Statistical Inference, Forecasting, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

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

  • Mastering Statics: The Hong Kong University of Science and Technology
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Core Machine Learning Algorithms and Model Validation: John Wiley & Sons
  • Mastering Classic Reinforcement Learning Algorithms: University of Colorado Boulder
  • Machine Learning Introduction for Everyone: IBM
  • Operations Research (2): Optimization Algorithms: National Taiwan University
  • Prediction and Control with Function Approximation: University of Alberta
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • The Complete Quantum Computing Course for Beginners: Packt
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera

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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