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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.


More to explore:

Popular Linear Regression Courses and Certifications


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    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Advanced Analytics, Applied Machine Learning, Business Analysis, Solution Design, Sprint Planning, Regression Analysis, Statistical Machine Learning, Machine Learning, Design Thinking, Analysis, Ideation, Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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    University of California, Irvine

    데이터 스토리텔링

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Storytelling, Data Ethics, Data Analysis, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Obsidian for Beginners: Journal and Track Tasks

    Skills you'll gain: Collaborative Software, Journals, Organizational Skills, Productivity, Timelines, Productivity Software, Project Management Software, Information Architecture, Project Management, Personal Development, Query Languages

    Beginner · Guided Project · Less Than 2 Hours

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    IBM

    Software Testing, Deployment, and Maintenance Strategies

    Skills you'll gain: Release Management, Application Deployment, Test Planning, CI/CD, Software Quality Assurance, Performance Testing, Software Development Life Cycle, Software Testing, Maintainability, Risk Management, Test Driven Development (TDD), Data Validation, Behavior-Driven Development, Product Lifecycle Management, Systems Analysis, Systems Thinking, Business Process Automation, Data Modeling, Process Flow Diagrams, Digital Transformation

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

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    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    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

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    EDUCBA

    Microsoft DirectX 3D Graphics Development

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Systems Integration, Applied Mathematics, Linear Algebra, Algebra

    Beginner · Specialization · 1 - 3 Months

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    Board Infinity

    Static & Dynamic Analysis for Technical Testing

    Skills you'll gain: Performance Testing, Maintainability, Software Testing, Code Review, Security Testing, Test Planning, Software Quality Assurance, Test Tools, White-Box Testing, Regression Testing

    Advanced · Course · 1 - 4 Weeks

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

  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Decision Tree Classifier for Beginners in R: Coursera
  • Predictive Analytics Project Ideation: University of Minnesota
  • 데이터 스토리텔링: University of California, Irvine
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Obsidian for Beginners: Journal and Track Tasks: Coursera
  • Software Testing, Deployment, and Maintenance Strategies : IBM
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Machine Learning with Implementation in Java: Board Infinity
  • Engineering Probability and Statistics 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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