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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


  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Predictive Analytics, Descriptive Statistics, Business Analytics, Statistical Modeling, Predictive Modeling, Forecasting, Advanced Analytics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Specialization · 3 - 6 Months

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Codio

    Java: Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Performance Tuning, Object-Relational Mapping, Computer Programming Tools

    3.6
    Rating, 3.6 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Lean Six Sigma Green Belt: Apply & Master Skills

    Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis

    5
    Rating, 5 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Jira for Quality Assurance Testing

    Skills you'll gain: Software Quality Assurance, Quality Assurance, Software Testing, Jira (Software), Regression Testing, Functional Testing, Test Planning, Test Case, Usability Testing, Technical Communication, Issue Tracking, Agile Methodology, Software Documentation, Software Development, Agile Project Management, Risk Management, User Interface and User Experience (UI/UX) Design, Data Analysis, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Applied Machine Learning: Johns Hopkins University
  • Data Science Companion: MathWorks
  • Predictive Analytics & Modeling with Minitab: EDUCBA
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Java: Data Structures and Algorithms: Codio
  • Lean Six Sigma Green Belt: Apply & Master Skills: EDUCBA
  • Jira for Quality Assurance Testing: Coursera
  • Deep Learning for Computer Vision: University of Colorado Boulder

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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