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    • Linear Regression

    Linear Regression Courses Online

    Explore linear regression for statistical modeling. Learn to analyze relationships between variables and make predictions based on data.

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    Explore the Linear Regression Course Catalog

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Learn Generative AI with LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information

      3.7
      Rating, 3.7 out of 5 stars
      ·
      41 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Python and Machine Learning for Asset Management

      Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Modeling, Risk Management, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Dimensionality Reduction

      3.1
      Rating, 3.1 out of 5 stars
      ·
      328 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Controle de Sistemas no Plano-s

      Skills you'll gain: Control Systems, Matlab, System Design and Implementation, Systems Engineering, Simulations, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Statistics with SAS

      Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 4: Robot Motion Planning and Control

      Skills you'll gain: Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      114 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming, Performance Tuning

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    Linear Regression learners also search

    Regression
    Linear Programming
    Regression Analysis
    Linear Algebra
    Regression Models
    Logistic Regression
    Predictive Modeling
    Statistical Modeling
    1…313233…74

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

    • Learn Generative AI with LLMs: Edureka
    • Python and Machine Learning for Asset Management : EDHEC Business School
    • Controle de Sistemas no Plano-s: Instituto Tecnológico de Aeronáutica
    • Statistics with SAS: SAS
    • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Data Science with R - Capstone Project: IBM
    • Introduction to Deep Learning: University of Colorado Boulder
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Statistics and Applied Data Analysis: University of Colorado Boulder

    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)

    Frequently Asked Questions about Linear Regression

    Linear regression is a type of statistical data analysis that examines which variables help significantly predict the outcome of a situation. You can use linear regression to determine the relationships between one dependent variable and one or more independent variables to sort out which variables will contribute most to the outcome you seek to achieve. Linear regression also helps you forecast the impact that changes to variables will make in different scenarios. It's a tool you can use to help predict outcomes and make adjustments to help achieve the outcome you're looking for.‎

    If you're in a career that relies on data analysis, linear regression is a tool that can help you determine the relationship between variables that affect scenarios that you need to predict or plan for. You can use linear regression to anticipate how the factors that affect a situation now will make a difference in the future. For example, you can use linear regression to predict the cost of a project or the amount of time it will take to complete the project based on different variables. Linear regression can help you make more informed and educated decisions to better navigate the present and plan for the future.‎

    Data analysts use linear regression in different areas of business to determine which variables affect outcomes the most. You can apply linear regression as a data scientist or analyst with a single company or in a consultant role across multiple businesses. You can even set up your own business as a consultant to be in control of your own schedule and career trajectory. Analysts use linear regression in polling and surveys as well as in policy research fields, and various corporations use data analysis to help plan for the future. You can also apply your knowledge of linear regression in higher education and as a professor or research assistant.‎

    You can use online courses to learn linear regression in order to deepen your knowledge and skills in your current job or to find a new career. Whether you're already familiar with linear regression or whether you're brand new to the concept, online courses can give you the knowledge you need to apply linear regression in your workplace. Online courses not only teach you the concepts, but they also provide you with real-life applications of what you're learning. One of the biggest benefits of online learning is that you can sharpen your skills in a way that fits your schedule and lifestyle. You can walk away from your online learning confident in what you've discovered about linear regression and prepared to apply it to your career.‎

    Online Linear Regression courses offer a convenient and flexible way to enhance your knowledge or learn new Linear Regression skills. Choose from a wide range of Linear Regression courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Linear Regression, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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