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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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    Koç University

    Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Calculus, Differential Equations

    4.1
    Rating, 4.1 out of 5 stars
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    43 reviews

    Mixed · Course · 1 - 3 Months

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    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Engineering Calculations, Advanced Mathematics, Algebra, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Machine Learning Methods, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Process Optimization, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
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    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    Universitat Politècnica de València

    Basic Math: Algebra

    Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Machine Learning Methods, Probability & Statistics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Machine Learning Algorithms, Statistical Methods, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    19K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Predictive Analytics with SPSS: Analyze & Apply

    Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
  • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Mathematics for Machine Learning: Imperial College London
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning with Python: IBM
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Basic Math: Algebra: Universitat Politècnica de València
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Data Analysis with Python: IBM

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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