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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
    M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Dashboard, Dashboard Creation, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Data Wrangling, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, Analysis, SQL, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Ethics, Data Transformation, Model Optimization, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Data Processing, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Model Optimization, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
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    89 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Infection Control, Statistical Modeling, Simulations, Infectious Diseases, Public Health and Disease Prevention, R Programming, Public Health, Predictive Modeling, Model Evaluation, R (Software), Model Optimization, Differential Equations, Data Modeling, Immunology, Regression Analysis, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    305 reviews

    Intermediate · Specialization · 1 - 3 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, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    370 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Statistical Programming, Customer Insights, R Programming, R (Software), Customer Data Management, Data-Driven Decision-Making, Data Analysis Software, Target Market, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
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    762 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Applied Machine Learning, Deep Learning, Linear Algebra, Machine Learning, Digital Signal Processing, Data Processing, Data Structures, Data Transformation, Algorithms, Data Science

    3.3
    Rating, 3.3 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    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, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Medical Science and Research, Data Quality, Statistical Modeling, Analysis, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
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    51 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Statistical Software, Machine Learning Methods, Machine Learning Software, Workflow Management, Machine Learning, Correlation Analysis, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    105 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    216 reviews

    Advanced · Course · 1 - 3 Months

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

  • Data Analysis with Spreadsheets and SQL: Meta
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Explainable AI (XAI): Duke University
  • Infectious Disease Modelling: Imperial College London
  • Unsupervised Machine Learning: IBM
  • Foundations of marketing analytics: ESSEC Business School
  • CUDA Advanced Libraries: Johns Hopkins University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Genetic Epidemiology Foundations: University of Colorado System

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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