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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


  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Columbia University

    3D Reconstruction - Multiple Viewpoints

    Skills you'll gain: Image Analysis, Computer Graphics, 3D Modeling, Virtual Reality, Computer Vision, Visualization (Computer Graphics), Mathematical Modeling, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Minnesota

    Social Determinants of Health: Data to Action

    Skills you'll gain: Social Determinants Of Health, Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Systems Thinking, Statistical Software, Data Analysis, Box Plots, Data Ethics, Substance Abuse, Research Methodologies, Correlation Analysis, Scatter Plots, Environmental Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Predictive Modeling, Feature Engineering, Data Preprocessing, Bayesian Statistics

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    AI agent fundamentals with Azure AI Foundry

    Skills you'll gain: Prompt Engineering, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Application Programming Interface (API), Information Architecture, Natural Language Processing, Technical Documentation

    3.5
    Rating, 3.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • É

    École normale supérieure

    Introduction à la théorie de Galois

    Skills you'll gain: Algebra, Linear Algebra, Combinatorics, Advanced Mathematics, Mathematics and Mathematical Modeling, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    67 reviews

    Mixed · Course · 1 - 3 Months

  • K

    Koç University

    Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

    Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • 3D Reconstruction - Multiple Viewpoints: Columbia University
  • Classification Trees in Python, From Start To Finish: Coursera
  • Social Determinants of Health: Data to Action: University of Minnesota
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Classification Analysis: University of Colorado Boulder
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • AI agent fundamentals with Azure AI Foundry: Microsoft
  • Causal Inference 2: Columbia University
  • Introduction à la théorie de Galois: École normale supérieure

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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