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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


  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis

    ★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics

    ★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization

    ★ 4.7 (7.7K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statement Analysis, Financial Statements, Financial Accounting, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Spreadsheet Software, Predictive Modeling, Financial Forecasting, Microsoft Excel, Corporate Finance

    ★ 4.5 (17K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • I

    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 (468) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Markov Model, Embeddings, Applied Machine Learning, Dimensionality Reduction, Large Language Modeling, Text Mining, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering, Keras (Neural Network Library)

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Supervised Machine Learning

    Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Fine-tuning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • T

    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 (5K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Michigan

    Sports Performance Analytics

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

    ★ 4.5 (281) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    ★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication

    ★ 4.6 (3.8K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Fundamentals of Orbit Determination

    Skills you'll gain: Estimation, Global Positioning Systems, Mathematical Modeling, Differential Equations, Numerical Analysis, Applied Mathematics, Simulations, Linear Algebra, Probability & Statistics, Statistical Methods, Mechanics, Calculus, Probability Distribution, Physics

    Intermediate · Course · 1 - 3 Months

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

  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Data Analysis with R: Duke University
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Supervised Machine Learning: Classification: IBM
  • Natural Language Processing: DeepLearning.AI
  • Supervised Machine Learning: Coursera
  • Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
  • Sports Performance Analytics: University of Michigan
  • IBM Introduction to Machine Learning: IBM

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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