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    • Linear Regression

    Linear Regression Courses Online

    Explore linear regression for statistical modeling. Learn to analyze relationships between variables and make predictions based on data.

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    Explore the Linear Regression Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Introduction to Software Quality Assurance

      Skills you'll gain: Software Quality Assurance, Software Development Life Cycle, Quality Assurance, Software Documentation, Functional Testing, Software Testing, Acceptance Testing, User Acceptance Testing (UAT), Test Case, Maintainability, Verification And Validation, Unit Testing, Software Design, System Testing, Integration Testing, Waterfall Methodology, Agile Methodology, Regression Testing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      841 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Engineering Probability and Statistics Part 1

      Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Differential Equations for Engineers

      Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Regression Analysis, Network Architecture, Data Processing, Data Science

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 2

      Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Machine Learning and Data Analytics Part 2

      Skills you'll gain: Text Mining, Time Series Analysis and Forecasting, Data Mining, Artificial Neural Networks, Trend Analysis, Unsupervised Learning, Regression Analysis, Unstructured Data, Forecasting, Statistical Analysis, Deep Learning, Data Analysis, Big Data, Predictive Modeling, Supervised Learning, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google Data-Driven Decision Making

      Skills you'll gain: Data Visualization, Data Integrity, Team Building, Data Analysis, Business Metrics, Data Ethics, Tableau Software, Data Cleansing, Team Management, Data Quality, Presentations, Data Validation, Data Visualization Software, Prompt Engineering, Business Analytics, Stakeholder Communications, Oral Expression, Spreadsheet Software, Interviewing Skills, Correlation Analysis

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Tensorflow, Mathematical Modeling, Machine Learning, Data Science, Computer Vision

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      121 reviews

      Intermediate · Specialization · 3 - 6 Months

    Linear Regression learners also search

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    1…282930…83

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

    • Introduction to Software Quality Assurance: Board Infinity
    • Prediction and Control with Function Approximation: University of Alberta
    • Statistical Learning for Engineering Part 1: Northeastern University
    • Engineering Probability and Statistics Part 1: Northeastern University
    • Differential Equations for Engineers: The Hong Kong University of Science and Technology
    • Social Media Data Analytics: University of Washington
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Deep Learning with TensorFlow: Packt
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Machine Learning and Data Analytics Part 2: Northeastern University

    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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