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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

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Quantum Mechanics for Engineers

      Skills you'll gain: Estimation, Linear Algebra, Physics, Mechanics, Engineering Calculations, Probability, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Physical Science

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Engineering Analysis, Computer Engineering, Engineering Calculations, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      264 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

      Skills you'll gain: FinTech, Fundraising and Crowdsourcing, Mobile Banking, Banking, Fundraising, Capital Markets, Consumer Lending, Blockchain, Credit Risk, Financial Services, Lending and Underwriting, Financial Analysis, Commercial Lending

      4.7
      Rating, 4.7 out of 5 stars
      ·
      302 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Instituto Tecnológico de Aeronáutica

      Controle Usando a Resposta em Frequência

      Skills you'll gain: Control Systems, Process Control, Automation Engineering, Design Specifications, System Design and Implementation, Engineering Analysis, Performance Tuning, Engineering Calculations, Simulation and Simulation Software, Mathematical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      160 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Science, Data Cleansing, Big Data, Supervised Learning, Data Transformation, Machine Learning Methods, Text Mining, Data Quality, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Data Presentation, Exploratory Data Analysis

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      134 reviews

      Intermediate · Specialization · 1 - 3 Months

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique

      Mécanique quantique

      Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    Linear Regression learners also search

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    Linear Algebra
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    Logistic Regression
    Predictive Modeling
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    1…242526…73

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

    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Fundamentals of Machine Learning in Finance: New York University
    • Quantum Mechanics for Engineers: University of Colorado Boulder
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Data Science for Business Innovation: EIT Digital
    • Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding: University of Michigan
    • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
    • Controle Usando a Resposta em Frequência: Instituto Tecnológico de Aeronáutica
    • Data Mining Foundations and Practice: 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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