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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


  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    AnĂ¡lisis Exploratorio de Datos con Python

    Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • U

    Universidades AnĂ¡huac

    Modelos predictivos con Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Relational Databases

    Skills you'll gain: Relational Databases, Databases, Database Theory, Database Design, Database Systems, Database Management, SQL, Database Architecture and Administration, Database Management Systems, Query Languages, Data Modeling, Transaction Processing, Data Management, Data Integrity, System Design and Implementation, Information Technology, Data Analysis, Information Architecture, Problem Solving, Logical Reasoning

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • S

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced Selenium WebDriver and Test Automation

    Skills you'll gain: Selenium (Software), Test Tools, Test Automation, Software Testing, Test Script Development, Test Case, Regression Testing, Test Execution Engine, Javascript and jQuery, Browser Compatibility, Automation, Software Design Patterns, UI Components, Java

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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

  • Compare Models with Experiments in Azure ML Studio: Coursera
  • AnĂ¡lisis Exploratorio de Datos con Python: Coursera
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
  • Modelos predictivos con Machine Learning: Universidades AnĂ¡huac
  • Learning Deep Learning: Unit 1: Pearson
  • Relational Databases: Birla Institute of Technology & Science, Pilani
  • Data Visualization and Modeling in Python: Duke University
  • Network Modeling and Analysis in Python: University of Michigan
  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins 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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