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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
    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, Quantitative Research, Descriptive Statistics, Probability & Statistics, Epidemiology, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    E

    EDUCBA

    Master ARKit Development: Build and Deploy iOS AR Apps

    Skills you'll gain: Augmented Reality, Apple iOS, Apple Xcode, Swift Programming, Virtual Environment, 3D Assets, Debugging, Animations, User Interface (UI), Development Environment, Game Design, Computer Graphics, Linear Algebra, Real Time Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Model Evaluation, AI Personalization, Machine Learning, Regression Analysis, Deep Learning, Predictive Modeling, Supervised Learning, Feature Engineering, Data Preprocessing, Image Analysis, Python Programming, Unsupervised Learning, Natural Language Processing, Text Mining, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Transfer Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Reinforcement Learning, Unsupervised Learning, Logistic Regression, 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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    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Introduction to Spreadsheets and Models

    Skills you'll gain: Spreadsheet Software, Financial Modeling, Regression Analysis, Excel Formulas, Business Modeling, Simulation and Simulation Software, Operations Research, Microsoft Excel, Google Sheets, Probability Distribution, Analysis, Forecasting, Predictive Analytics, Risk Analysis, Statistical Methods, Data Analysis Software, Process Optimization, Decision Tree Learning

    4.2
    Rating, 4.2 out of 5 stars
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    3.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Build Wireframes and Low-Fidelity Prototypes

    Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Experience Design, User Centered Design, Prototyping, User Interface (UI), Usability, Mockups, Conceptual Design, User Flows

    4.9
    Rating, 4.9 out of 5 stars
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    9.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Software, Probability Distribution, Statistical Analysis, Data Analysis, Markov Model, Model Evaluation, R (Software), Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    P

    Packt

    Advanced Game Math - Affine Transformations

    Skills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Game Design, Computer Graphics, Trigonometry, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms, General Mathematics

    Advanced · Course · 1 - 4 Weeks

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    C

    Coursera

    No-Code Web Test Automation with Reflect

    Skills you'll gain: Browser Compatibility, Test Automation, No-Code Development, Usability Testing, User Acceptance Testing (UAT), Regression Testing, Software Testing, Quality Assurance

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Network Analysis, Theoretical Computer Science, Data Structures, Computational Thinking, Linear Algebra, Data Processing, Computer Science, Image Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    700 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 3 Months

Searches related to linear regression

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

  • Biostatistics in Public Health: Johns Hopkins University
  • Master ARKit Development: Build and Deploy iOS AR Apps: EDUCBA
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Machine Learning: Duke University
  • Statistics You Need to Know for Machine Learning: SAS
  • Introduction to Spreadsheets and Models: University of Pennsylvania
  • Build Wireframes and Low-Fidelity Prototypes: Google
  • Bayesian Statistics: University of California, Santa Cruz
  • Advanced Game Math - Affine Transformations: Packt
  • No-Code Web Test Automation with Reflect: 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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