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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
    P

    Packt

    Quantum Computing with Qiskit and Advanced Algorithms

    Skills you'll gain: Algorithms, Computer Hardware, Cryptography, Python Programming, Computer Programming, Emerging Technologies, Theoretical Computer Science, Simulation and Simulation Software, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Basic Robotic Behaviors and Odometry

    Skills you'll gain: Robotics, Automation, Artificial Intelligence, Simulation and Simulation Software, Control Systems, Simulations, Algorithms, Linear Algebra, Python Programming

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel

    Skills you'll gain: Pivot Tables And Charts, Sample Size Determination, Data Visualization, Statistical Inference, Data Visualization Software, Statistical Hypothesis Testing, Statistics, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Descriptive Statistics, Probability & Statistics, Data Analysis, Forecasting, Regression Analysis, Business Analytics, Spreadsheet Software, Statistical Modeling, Statistical Visualization, Data Presentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Classification Algorithms, Machine Learning Algorithms, Model Evaluation, Supervised Learning, Logistic Regression, Data Validation, Algorithms, Machine Learning, Feature Engineering, Verification And Validation, Regression Analysis, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    286 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    389 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google UX Design

    Skills you'll gain: User Experience Design, Information Architecture, Storyboarding, Wireframing, User Story, UI/UX Research, User Research, Adobe XD, Usability Testing, Figma (Design Software), Design Reviews, User Interface and User Experience (UI/UX) Design, Ideation, Persona (User Experience), Design Thinking, Presentations, Web Design, User Centered Design, Research Design, Prototyping

    4.7
    Rating, 4.7 out of 5 stars
    ·
    168 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Tidyverse Skills for Data Science in R

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
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    109 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    416 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Risking, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Quantum Computing with Qiskit and Advanced Algorithms: Packt
  • Basic Robotic Behaviors and Odometry : University of Colorado Boulder
  • Statistics and Data Analysis with Excel: Macquarie University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Deep Learning and Reinforcement Learning: IBM
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Introduction to Advanced Calculus: The University of Sydney
  • Google UX Design: Google
  • Tidyverse Skills for Data Science in R: Johns Hopkins 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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