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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
    U
    I
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    118K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Generative Model Architectures, Decision Intelligence, Data Processing, Big Data, LLM Application, Information Architecture, AI literacy, Strategic Decision-Making, AI Integrations, Enterprise Architecture, Cloud Computing, Data Science, Data Architecture, Leadership

    4.7
    Rating, 4.7 out of 5 stars
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    100K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
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    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
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    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression

    4.4
    Rating, 4.4 out of 5 stars
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    610 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statement Analysis, Financial Statements, Financial Accounting, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Spreadsheet Software, Predictive Modeling, Financial Forecasting, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
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    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, R Programming, Statistical Modeling, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: File I/O, Code Reusability, Matlab, Functional Design, Computer Programming Tools, Computer Programming, Programming Principles, Program Development, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, C (Programming Language), Data Structures, Computational Logic, Linear Algebra, Engineering Calculations, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business and Financial Modeling

    Skills you'll gain: Risk Modeling, Risk Management, Cash Flow Forecasting, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Statistical Modeling, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Risk Analysis, Data Modeling, Data Presentation, Quantitative Research, Presentations, Financial Forecasting, Spreadsheet Software, Predictive Modeling, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Virginia

    Marketing Analytics

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, Marketing Strategies, Regression Analysis, Marketing Budgets, Data-Driven Decision-Making, Branding, Brand Management, Resource Allocation, Customer Analysis, Customer Insights, Brand Awareness, Predictive Analytics, Brand Strategy, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.4K reviews

    Beginner · Course · 1 - 3 Months

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

  • Data Science Foundations: University of London
  • IBM AI Foundations for Business: IBM
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Statistics: Stanford University
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Inferential Statistics: University of Amsterdam
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Data Analysis with R: Duke University
  • Introduction to Programming with MATLAB: Vanderbilt 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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