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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: Preview
    Preview
    U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Data Quality, Statistical Modeling, Probability & Statistics, Molecular Biology, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Data Validation, Biology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    136 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Robotic Mapping and Trajectory Generation

    Skills you'll gain: Robotics, Data Mapping, Real-Time Operating Systems, Simulations, Linear Algebra, Python Programming, Algorithms, Computer Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    189 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming

    4.4
    Rating, 4.4 out of 5 stars
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    658 reviews

    Intermediate · Course · 1 - 3 Months

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    S

    Splunk Inc.

    Splunk Search Expert

    Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Performance Tuning, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Business Intelligence, Big Data, Data Science, Business Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    272 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    355 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    283 reviews

    Intermediate · Course · 1 - 3 Months

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    E

    Erasmus University Rotterdam

    Multilevel Modeling

    Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, R (Software), Data Preprocessing, Data Quality, Model Evaluation

    3.9
    Rating, 3.9 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Genetic Epidemiology Foundations: University of Colorado System
  • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
  • Robotic Mapping and Trajectory Generation: University of Colorado Boulder
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Machine Learning Capstone: IBM
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Splunk Search Expert: Splunk Inc.
  • Unsupervised Machine Learning: IBM
  • Deep Learning and Reinforcement Learning: IBM
  • Multilevel Modeling: Erasmus University Rotterdam

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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