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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


  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft UX Design

    Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Experience, Persona (User Experience), Wireframing, Design Research, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Figma (Design Software), Usability, User Interface (UI) Design, User Centered Design, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    603 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Systems Design, Algorithms, Computer Engineering, Mathematical Software, Design Software, Computer Programming Tools, Debugging, Digital Design, Software Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Derivatives, Mathematical Theory & Analysis, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    387 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    737 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Statistics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    292 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    596 reviews

    Advanced · Course · 1 - 3 Months

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

  • Microsoft UX Design: Microsoft
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Differential Calculus through Data and Modeling: Johns Hopkins University
  • Machine Learning Introduction for Everyone: IBM
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Text Mining and Analytics: University of Illinois Urbana-Champaign
  • Analytics for Decision Making: University of Minnesota

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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