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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: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

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

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    451 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Building and Optimizing Decision Systems

    Skills you'll gain: Responsible AI, Decision Support Systems, Strategic Decision-Making, Operational Efficiency, Predictive Modeling, Process Optimization, Business Modeling, Predictive Analytics, Data-Driven Decision-Making, Data Pipelines, Business Intelligence, Data Ethics, Scenario Testing, Forecasting, Governance, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization, Scikit Learn (Machine Learning Library), Python Programming, Regression Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
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    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    693 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    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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    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Literacy

    Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing

    4.6
    Rating, 4.6 out of 5 stars
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    265 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Computational Neuroscience: University of Washington
  • Statistics for Data Science with Python: IBM
  • Google Advanced Data Analytics Capstone: Google
  • Building and Optimizing Decision Systems: Edureka
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Machine Learning Foundations for Product Managers: Duke University
  • Applied Machine Learning in Python: University of Michigan
  • Data Literacy: Johns Hopkins University
  • Reinforcement Learning: University of Alberta
  • AI for Medical Prognosis : DeepLearning.AI

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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