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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: New
      New
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Neural Networks, Visualization (Computer Graphics), Artificial Intelligence

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Conocimiento:Una herramienta para la ingeniería y la gestión

      Skills you'll gain: Decision Making, Knowledge Transfer, Communication, Mediation, Complex Problem Solving, Analysis, Systems Thinking, Information Architecture, Organizational Structure, Cultural Diversity

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California, Irvine

      데이터 스토리텔링

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Spacecraft Relative Motion Control

      Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Linear Algebra, Differential Equations, Applied Mathematics

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      AWS AutoGluon for Machine Learning Classification

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Análisis 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

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      D

      Dartmouth College

      Predictive Analytics

      Skills you'll gain: Business Ethics, Predictive Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Regression Analysis, Python Programming, Cloud Computing, Data Quality, Performance Metric, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Оптимизация портфеля с помощью модели Марковица

      Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Recommender Systems Complete Course Beginner to Advanced

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Predictive Analytics, Deep Learning, Machine Learning, NumPy, Pandas (Python Package)

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Amazon Web Services, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, NumPy, Machine Learning Methods, Applied Machine Learning, Data Transformation, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Machine Learning Algorithms, Algorithms, Linear Algebra, Probability & Statistics

      Beginner · Course · 1 - 3 Months

    Linear Regression learners also search

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    1…666768…73

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

    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
    • Conocimiento:Una herramienta para la ingeniería y la gestión: Pontificia Universidad Católica de Chile
    • 데이터 스토리텔링: University of California, Irvine
    • Spacecraft Relative Motion Control: University of Colorado Boulder
    • AWS AutoGluon for Machine Learning Classification: Coursera Project Network
    • Análisis Exploratorio de Datos con Python: Coursera Project Network
    • Predictive Analytics: Dartmouth College
    • Оптимизация портфеля с помощью модели Марковица: Coursera Project Network
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Recommender Systems Complete Course Beginner to Advanced: Packt

    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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