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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


  • J

    Johns Hopkins University

    Business Analytics with Excel: Elementary to Advanced

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Excel Formulas, Microsoft Excel, Business Analytics, Risk Analysis, Business Risk Management, Business Modeling, Financial Modeling, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations

    ★ 4.8 (4K) · Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    ★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

  • W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    ★ 4.4 (1.4K) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    ★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting

    ★ 4.8 (7.8K) · Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Business Analytics with Excel

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Network Model, Resource Allocation, Excel Macros, Business Analytics, Decision Making, Risk Analysis, Simulation and Simulation Software, Microsoft Excel, Business Risk Management, Strategic Decision-Making, Business Modeling, Financial Modeling, Data-Driven Decision-Making, Excel Formulas, Business, Spreadsheet Software, Data Analysis

    ★ 4.8 (4.1K) · Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Data Literacy, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling

    ★ 4.8 (2.4K) · Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

    ★ 4.5 (4.2K) · Intermediate · Professional Certificate · 3 - 6 Months

  • B

    Board Infinity

    Prepare for CFA Level 1: Quantitative Methods and Returns

    Skills you'll gain: Portfolio Management, Portfolio Risk, Regression Analysis, Quantitative Research, Finance, Statistical Hypothesis Testing, Statistical Modeling, Probability & Statistics, Probability, Statistical Methods, Risk Modeling, Financial Modeling, Statistical Analysis, Market Data, Statistical Machine Learning, Financial Trading, Correlation Analysis, Advanced Analytics, Investment Management, Simulations

    Beginner · Course · 1 - 3 Months

  • C

    California Institute of the Arts

    UI / UX Design

    Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), User Experience, Mockups, User Experience Design, Responsive Web Design, Web Design, UI/UX Strategy, User Interface (UI), Adobe XD, User Interface (UI) Design, Visual Design, Digital Design, User Centered Design, Interaction Design, Prototyping, Graphic and Visual Design, User Research

    ★ 4.7 (8.1K) · Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Introduction to Machine Learning

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

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Advanced Analytics Techniques with Generative AI

    Skills you'll gain: Web Scraping, Regression Analysis, Responsible AI, Generative AI, Statistical Analysis, Rmarkdown, Feature Engineering, Predictive Modeling, Time Series Analysis and Forecasting, R (Software), Logistic Regression, Leaflet (Software), Risk Analysis, Data Pipelines, AI Product Strategy, AI Integrations, AI Enablement, AI Personalization, AI Orchestration, AI Workflows

    Intermediate · Specialization · 3 - 6 Months

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

  • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University
  • Machine Learning: Classification: University of Washington
  • Data Analysis and Interpretation: Wesleyan University
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Business Analytics with Excel: Johns Hopkins University
  • Biostatistics in Public Health: Johns Hopkins University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Prepare for CFA Level 1: Quantitative Methods and Returns: Board Infinity
  • UI / UX Design: California Institute of the Arts

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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