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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
    T

    The State University of New York

    Player Evaluation, Team Performance and Roster Management

    Skills you'll gain: Calendar Management, Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Team Management, Contract Negotiation, Business Mathematics, R Programming, Operations Management

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Jupyter, Machine Learning Software, Applied Machine Learning, Image Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Predictive Analytics, Deep Learning, Supervised Learning, Artificial Intelligence, Computer Vision, Unsupervised Learning, Text Mining, Natural Language Processing

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    V

    Vanderbilt University

    MATLAB을 사용한 프로그래밍 소개

    Skills you'll gain: Computer Programming, Matlab, Debugging, Linear Algebra, Computer Science, Development Environment, Scripting, User Interface (UI), Data Import/Export, Data Structures, Arithmetic, File Management

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

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    N

    Northwestern University

    현대 로봇공학, 강좌 2: 로봇 기구학

    Skills you'll gain: Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Mathematical Software, Engineering Analysis, Engineering Calculations, Applied Mathematics, Trigonometry, Linear Algebra, Spatial Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Creating an Interactive Syllabus using Microsoft Word

    Skills you'll gain: Microsoft Office, Educational Materials, Web Content Accessibility Guidelines, Technical Documentation, Information Architecture, Organizational Skills

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    E

    ESSEC Business School

    Deploying the circular economy within organisations

    Skills you'll gain: Sustainable Business, Corporate Sustainability, Sustainable Development, Business Transformation, Organizational Change, Waste Minimization, Systems Thinking, Environmental Issue, Business Modeling, Innovation, Product Lifecycle Management, Stakeholder Engagement, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    P

    Politecnico di Milano

    Modelling and measuring the Energy Transition

    Skills you'll gain: Product Lifecycle Management, Sustainability Reporting, Energy and Utilities, Environmental Science, Sustainable Development, Mathematical Modeling, Systems Thinking, Analysis, Microsoft Excel, Industrial Engineering, Case Studies, Software Development Life Cycle, Accounting, Applied Mathematics, Data Literacy, Scenario Testing, Open Source Technology

    4.3
    Rating, 4.3 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Trend Analysis, Statistical Modeling, R (Software), Statistics, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Create Organizational Templates in Trello

    Skills you'll gain: Organizational Skills, Project Management Software, Workflow Management, Collaborative Software, Dashboard, Team Management, Project Management, User Accounts, Information Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Methods for Quality Improvement

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Quality Improvement, Process Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    53 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Player Evaluation, Team Performance and Roster Management: The State University of New York
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
  • Creating an Interactive Syllabus using Microsoft Word: Coursera
  • Deploying the circular economy within organisations: ESSEC Business School
  • Modelling and measuring the Energy Transition: Politecnico di Milano
  • Statistical Analysis and Advanced Techniques: Microsoft
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt

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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