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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: New
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    EDUCBA

    Financial Statistics and Quantitative Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Trend Analysis, Risk Modeling, Finance, Statistical Methods, Financial Data, Financial Modeling, Probability, Statistical Inference, Risk Analysis, Probability & Statistics, Risk Management, Statistics, Correlation Analysis, Analysis, Portfolio Management

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Introduction to Spreadsheets and Models

    Skills you'll gain: Spreadsheet Software, Financial Modeling, Predictive Modeling, Regression Analysis, Statistical Modeling, Data Modeling, Financial Forecasting, Excel Formulas, Risk Modeling, Business Modeling, Simulation and Simulation Software, Microsoft Excel, Google Sheets, Probability Distribution, Analysis, Forecasting, Predictive Analytics, Risk Analysis, Statistical Methods, Data Analysis Software

    4.2
    Rating, 4.2 out of 5 stars
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    3.9K reviews

    Mixed · Course · 1 - 4 Weeks

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    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Mechanics

    4.8
    Rating, 4.8 out of 5 stars
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    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

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    The University of North Carolina at Chapel Hill

    Epidemiology: The Basic Science of Public Health

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Research Design, Community Health, Health Policy, Research Methodologies, Biostatistics, Science and Research, Correlation Analysis, Clinical Trials, Statistical Analysis, Chronic Diseases, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Predictive Modeling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Model Evaluation, Data Management, Business Analytics, Storytelling, Data Literacy, Analytics, Exploratory Data Analysis, Logistic Regression, Data Analysis, Risk Analysis, Data-Driven Decision-Making, Data Cleansing, Data Visualization Software, SQL

    4.6
    Rating, 4.6 out of 5 stars
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    5.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), 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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    3.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    C

    California Institute of the Arts

    Introduction to Typography

    Skills you'll gain: Typography, Graphic Design, Graphic and Visual Design, Layout Design, Design, Art History, Visual Design, Information Architecture, Design Elements And Principles, Design Strategies, Design Research, Peer Review, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Explainable AI for Everyone

    Skills you'll gain: Responsible AI, Technical Communication, Data Ethics, Model Evaluation, Interactive Data Visualization, Data Storytelling, Machine Learning, Data Visualization, Feature Engineering, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Regression Analysis, Decision Tree Learning, Trustworthiness, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Statistical Methods, Stakeholder Analysis, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

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

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    468 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Financial Statistics and Quantitative Analysis: EDUCBA
  • Introduction to Spreadsheets and Models: University of Pennsylvania
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
  • Advanced Business Analytics: University of Colorado Boulder
  • Big Data: University of California San Diego
  • IBM Machine Learning: IBM
  • Introduction to Typography: California Institute of the Arts
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Explainable AI for Everyone: Edureka

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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