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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.


More to explore:

Popular Linear Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Portfolio Optimization using Markowitz Model

    Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Risk Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    328 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Classification Algorithms, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Model Evaluation, Statistical Analysis, Analytics, Logistic Regression, Data Preprocessing, Predictive Modeling, Statistical Modeling, Applied Machine Learning, Machine Learning Methods, Decision Tree Learning, Data Mining, Machine Learning Algorithms, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    288 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

    Skills you'll gain: Statistical Analysis, SPSS, Statistical Modeling, Correlation Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Data Analysis Software, Analysis, Advanced Analytics, Research Methodologies, Data Analysis, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Data Structures and Algorithms

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Statistics in Psychological Research

    Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Pillar #3: Drug Effectiveness - Real-World Evidence

    Skills you'll gain: Clinical Research, Clinical Trials, Pharmacology, Data Collection, Epidemiology, Scientific Methods, Statistical Methods, Analytical Skills, Regression Analysis, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Portfolio Optimization using Markowitz Model: Coursera
  • Data Analysis with Python: University of Colorado Boulder
  • Foundations of Machine Learning: Coursera
  • Microsoft Azure Machine Learning: Microsoft
  • Foundations of marketing analytics: ESSEC Business School
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong
  • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
  • C++: Data Structures and Algorithms: Codio

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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