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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


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    Northwestern University

    현대 로봇공학, 강좌 3: 로봇 동역학

    Skills you'll gain: Robotics, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanics, Torque (Physics), Algorithms, Applied Mathematics, Differential Equations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    XHTML Full Stack Development with PHP Projects

    Skills you'll gain: PHP (Scripting Language), File I/O, Web Applications, Usability, Information Architecture, Responsive Web Design, Hypertext Markup Language (HTML), Front-End Web Development, MySQL, Web Design and Development, User Experience Design, Browser Compatibility, User Interface (UI), HTML and CSS, Verification And Validation, User Interface (UI) Design, Server Side, Semantic Web, Back-End Web Development, Javascript

    4.7
    Rating, 4.7 out of 5 stars
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    24 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Advanced Appium: Scalable Mobile Test Automation

    Skills you'll gain: Test Automation, Jenkins, Mobile Development, Test Execution Engine, Testability, Application Frameworks, Test Case, Regression Testing, Continuous Integration, Debugging, Scalability, CI/CD, Test Engineering, Maintainability, Automation, Continuous Deployment, Cross Platform Development, Containerization

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

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    American Psychological Association

    Chi-Square Tests of Hypotheses About Frequency Tables

    Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    XML - Beginner Level

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Data Sharing, Interoperability, Information Architecture, Technical Documentation, Data Management, Data Validation, Document Management

    4.4
    Rating, 4.4 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Predictive Modeling, Probability & Statistics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

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    Clemson University

    Applied Data Science

    Skills you'll gain: Data Ethics, Data Science, Model Evaluation, Regression Analysis, Data Visualization, Keras (Neural Network Library), Matplotlib, Dimensionality Reduction, Data Analysis, Tensorflow, Data Cleansing, Data Preprocessing, Convolutional Neural Networks, Artificial Neural Networks, Data-Driven Decision-Making, Statistical Analysis, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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

  • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
  • Deep Neural Network for Beginners Using Python: Packt
  • XHTML Full Stack Development with PHP Projects: EDUCBA
  • Advanced Appium: Scalable Mobile Test Automation: Coursera
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
  • Foundations of ML & Python for Data Science: Packt
  • XML - Beginner Level: EDUCBA
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • Machine Learning and Data Analytics Part 1: 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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