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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


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    EDUCBA

    Python: Master House Price Prediction with Linear Regression

    Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 3 - 6 Months

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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Algorithms, Python Programming, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
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    165 reviews

    Beginner · Course · 1 - 4 Weeks

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    R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Graphing, Statistical Methods, Regression Analysis, Pivot Tables And Charts, Statistics, Descriptive Statistics, Spreadsheet Software, Probability & Statistics, Probability Distribution, Excel Formulas, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Specialization · 3 - 6 Months

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    O.P. Jindal Global University

    Econometrics - Theory and Practice

    Skills you'll gain: Econometrics, Regression Analysis, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution, Logistic Regression, Model Evaluation

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Artificial Neural Networks, Statistical Analysis, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Algebra, Advanced Mathematics, Jupyter, Applied Mathematics, Python Programming, Machine Learning, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    328 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    274 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Python: Master House Price Prediction with Linear Regression: EDUCBA
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Business Statistics and Analysis: Rice University
  • Econometrics - Theory and Practice: O.P. Jindal Global University
  • Linear Regression Modeling for Health Data: University of Michigan
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning for Data Analysis: Wesleyan 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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