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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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    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

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    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

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    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    276 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Building UI Components with Storybook - A Practical Tutorial

    Skills you'll gain: Web Development Tools, Software Development, Regression Testing, Web Content Accessibility Guidelines, GitHub

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Management, Predictive Analytics, Business Analytics, Logistic Regression, Analytics, Exploratory Data Analysis, Data Quality, Data Ethics, Data Analysis, Risk Analysis, Business Intelligence, Data Modeling, Data Visualization, Data Visualization Software, Decision Making, Data Cleansing, SQL

    4.6
    Rating, 4.6 out of 5 stars
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    5.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Linear Algebra, Numerical Analysis, Differential Equations, Engineering Calculations, Matlab, Engineering Analysis, Finite Element Methods, Mathematical Software, Integral Calculus, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, electromagnetics, Advanced Mathematics, Mathematical Modeling, General Mathematics, Estimation, Scripting, Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Transfer Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Reinforcement Learning, Unsupervised Learning, Logistic Regression, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Deep Learning, Feature Engineering, Algorithms, Artificial Neural Networks, Model Evaluation, Performance Testing, Markov Model, Pseudocode, Probability Distribution, Linear Algebra, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Model Evaluation, AI Personalization, Machine Learning, Regression Analysis, Deep Learning, Predictive Modeling, Supervised Learning, Feature Engineering, Data Preprocessing, Image Analysis, Python Programming, Unsupervised Learning, Natural Language Processing, Text Mining, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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

  • Statistics You Need to Know for Machine Learning: SAS
  • Classification and Planned Experiments: Arizona State University
  • Sports Performance Analytics: University of Michigan
  • Building UI Components with Storybook - A Practical Tutorial: Packt
  • Advanced Business Analytics: University of Colorado Boulder
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Applied Machine Learning in Python: University of Michigan
  • Computational Neuroscience: University of Washington
  • Quantitative Finance & Risk Modeling: Coursera
  • Introduction to Machine Learning: Duke 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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