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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

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Diagramas de afinidad en Miro

    Skills you'll gain: Collaborative Software, Brainstorming, Information Architecture, Organizational Skills, Productivity

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    XHTML Practical - Creating Website Engineering College

    Skills you'll gain: Information Architecture, Browser Compatibility, HTML and CSS, Verification And Validation, Semantic Web, Web Design and Development, Web Design, Data Validation, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Houdini VEX Wrangles: Procedural Effects Guide

    Skills you'll gain: 3D Modeling, 3D Assets, Visualization (Computer Graphics), Computer Graphics, Linear Algebra, Animations, Programming Principles, Scripting, Simulations, User Interface (UI), Computational Logic, Data Structures

    Mixed · Course · 1 - 3 Months

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    LearnQuest

    Automate Data Analysis and BI with No-Code AI

    Skills you'll gain: Predictive Modeling, Data Visualization, Data Presentation, Data-Driven Decision-Making, Advanced Analytics, Business Analytics, AI Enablement, Business Reporting, Global Marketing, User Feedback, Regional Sales, Presentations, Key Performance Indicators (KPIs), Law, Regulation, and Compliance

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    TensorFlow: Build & Deploy Face Mask Detection

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Design and Build Websites with HTML & CSS Fundamentals

    Skills you'll gain: HTML and CSS, Web Design, Hypertext Markup Language (HTML), Creative Design, Cascading Style Sheets (CSS), User Interface (UI), Web Development, Usability, Information Architecture

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Modernización de sitios web con IA generativa en GC

    Skills you'll gain: Generative AI, AI Personalization, Prompt Engineering, Web Content, User Experience, Web Analytics and SEO, Information Architecture, Google Cloud Platform

    Beginner · Course · 1 - 4 Weeks

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

  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Diagramas de afinidad en Miro: Coursera
  • XHTML Practical - Creating Website Engineering College: EDUCBA
  • Houdini VEX Wrangles: Procedural Effects Guide: EDUCBA
  • Automate Data Analysis and BI with No-Code AI: LearnQuest
  • Machine Learning Projects in R with Caret: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • TensorFlow: Build & Deploy Face Mask Detection: EDUCBA
  • Statistical Learning for Engineering Part 2: 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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