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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

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Social Justice

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Validity and Bias in Epidemiology

      Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      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

    • S

      SkillUp EdTech

      ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Team Motivation, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Process Capability, Risk Analysis, Team Leadership, Quality Improvement, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Process Analysis, Statistical Analysis, Continuous Improvement Process, Organizational Change

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Import/Export, Data Analysis, Machine Learning, Data-Driven Decision-Making, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      51 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Conceptos y Herramientas para la Física Universitaria

      Skills you'll gain: Mathematical Modeling, Calculus, Physics, Integral Calculus, Graphing, Advanced Mathematics, Applied Mathematics, Mechanics, Linear Algebra, Geometry, Trigonometry, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      425 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Intermediate · Specialization · 3 - 6 Months

    Linear Regression learners also search

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    1…353637…72

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

    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS
    • Validity and Bias in Epidemiology: Imperial College London
    • Machine Learning Using SAS Viya: SAS
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep: SkillUp EdTech
    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
    • Data Analysis with Python: University of Colorado Boulder
    • Fundamentals of Machine Learning for Supply Chain: LearnQuest
    • AI for Scientific Research: LearnQuest

    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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