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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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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Text into Categories with the Natural Language API

    Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis

    Intermediate · Project · Less Than 2 Hours

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    U

    Universidades Anáhuac

    Visualización de datos efectiva

    Skills you'll gain: Interactive Data Visualization, Infographics, Data Storytelling, Data Presentation, Data Visualization Software, User Experience Design, Multimedia, Statistical Visualization, Data Analysis, Information Architecture, Design Elements And Principles

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    3D Graphics with DirectX: Apply & Integrate

    Skills you'll gain: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Data Structures, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Exploratory Data Analysis and Visualization

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing

    Beginner · Course · 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

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    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting, Quality Control

    Beginner · 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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    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

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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

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

  • Data Science Fundamentals, Part 2: Pearson
  • Classify Text into Categories with the Natural Language API: Google Cloud
  • Visualización de datos efectiva: Universidades Anáhuac
  • 3D Graphics with DirectX: Apply & Integrate: EDUCBA
  • Exploratory Data Analysis and Visualization: Microsoft
  • Advanced Appium: Scalable Mobile Test Automation: Coursera
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Predictive Analytics Project Ideation: University of Minnesota
  • 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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