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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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    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Software Testing Life Cycle (STLC) Fundamentals

    Skills you'll gain: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    597 reviews

    Advanced · Course · 1 - 3 Months

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    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    239 reviews

    Advanced · Course · 1 - 4 Weeks

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    CertNexus

    CSC: Secure Software Testing and Maintenance

    Skills you'll gain: Security Testing, Application Security, Open Web Application Security Project (OWASP), Software Testing, Secure Coding, Test Tools, Regression Testing, Unit Testing, Penetration Testing, Security Controls, Computer Security, Test Driven Development (TDD), Debugging, User Acceptance Testing (UAT), Computer Programming, Python Programming, Node.JS, Information Privacy, JavaScript Frameworks, Javascript

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    328 reviews

    Mixed · Course · 1 - 4 Weeks

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    Logical Operations

    Advanced Python: Data Science, Testing, and Distribution

    Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

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    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    274 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Washington

    Social Media Data Analytics

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

    4.1
    Rating, 4.1 out of 5 stars
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    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Methods, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Project Documentation, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Software Testing Life Cycle (STLC) Fundamentals: Edureka
  • The Nuts and Bolts of Machine Learning: Google
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • CSC: Secure Software Testing and Maintenance: CertNexus
  • Machine Learning for Data Analysis: Wesleyan University
  • Advanced Python: Data Science, Testing, and Distribution: Logical Operations
  • Regression Modeling in Practice: Wesleyan University
  • Social Media Data Analytics: University of Washington
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan

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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