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Results for "regression"


  • J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Model Evaluation, Statistical Inference

    4.4 stars, 3.4K reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.4 (3.4K) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Software, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Model Evaluation, Statistics, Predictive Modeling

    4.8 stars, 1.8K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (1.8K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Data Analysis, Correlation Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming

    4.7 stars, 611 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.7 (611) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Python Programming, Logistic Regression, Model Optimization, Regression Analysis

    4.9 stars, 33K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (33K) · Beginner · Course · 1 - 4 Weeks

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    3.4 stars, 11 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.4 (11) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Data Analysis

    4.6 stars, 31 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (31) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    BiteSize Stats: Correlation and Regression Analysis

    Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Scatter Plots, Model Evaluation, Estimation, Sampling (Statistics)

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Model Evaluation

    4.4 stars, 8 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.4 (8) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    4.6 stars, 68 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (68) · Beginner · Guided Project · Less Than 2 Hours

  • I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Analysis, R (Software), Public Health, Data Preprocessing

    4.8 stars, 368 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (368) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Modeling, Data Analysis, SAS (Software), Model Evaluation, Python Programming

    4.4 stars, 274 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.4 (274) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Data Analysis

    4.8 stars, 333 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (333) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1234…64

Best Regression courses from Johns Hopkins University

Top-rated Regression courses offered by Johns Hopkins University on Coursera.

  1. 1
    Regression Models
    Johns Hopkins UniversityMixed1 - 4 Weeks4.4(3,377)Johns Hopkins University
  2. 2
    Multiple Regression Analysis in Public Health
    Johns Hopkins UniversityBeginner1 - 4 Weeks4.8(333)Johns Hopkins University

Best Regression courses for beginners

Top-rated beginner-friendly Regression courses with no prerequisites.

  1. 1
    Linear Regression and Modeling
    Duke UniversityBeginner1 - 4 Weeks4.8(1,794)No prerequisites
  2. 2
    Supervised Machine Learning: Regression and Classification
    DeepLearning.AIBeginner1 - 4 Weeks4.9(32,953)No prerequisites
  3. 3
    Linear Algebra and Regression Fundamentals for Data Science
    University of PittsburghBeginner1 - 4 Weeks3.4(11)No prerequisites

Frequently Asked Questions about Regression

Regression is a statistical method used to understand relationships between variables. It helps in predicting outcomes based on input data, making it a crucial tool in various fields such as finance, healthcare, and marketing. By analyzing historical data, regression allows professionals to make informed decisions, identify trends, and forecast future events. Understanding regression is important because it provides insights that can lead to better strategies and improved performance in business and research.‎

Careers in regression span a variety of fields, including data analysis, statistics, finance, and machine learning. Job titles may include Data Analyst, Statistician, Business Analyst, and Data Scientist. These roles often require the ability to interpret data and apply regression techniques to solve complex problems. As organizations increasingly rely on data-driven decision-making, professionals skilled in regression are in high demand.‎

To effectively learn regression, you should focus on several key skills. First, a solid understanding of statistics is essential, as regression is grounded in statistical principles. Additionally, proficiency in programming languages such as Python or R is beneficial for implementing regression models. Familiarity with data visualization tools and techniques will also help you interpret and present your findings clearly. Lastly, knowledge of machine learning concepts can enhance your ability to apply regression in predictive analytics.‎

There are numerous online courses available to help you learn regression. Some notable options include Build Regression, Classification, and Clustering Models and Linear Regression. These courses cover various aspects of regression, from foundational concepts to advanced applications, making them suitable for learners at different levels.‎

Yes. You can start learning regression on Coursera for free in two ways:

  1. Preview the first module of many regression courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in regression, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn regression effectively, start by selecting a course that matches your current skill level and goals. Engage with the course materials, complete assignments, and practice with real datasets to reinforce your understanding. Additionally, consider joining online forums or study groups to discuss concepts and share insights with peers. Regular practice and application of regression techniques will help solidify your knowledge and build confidence.‎

Typical topics covered in regression courses include linear regression, logistic regression, model validation, and variable selection. You may also explore advanced topics such as nonparametric regression and generalized linear models. Courses often incorporate practical applications, allowing you to work with datasets and use software tools to implement regression techniques effectively.‎

For training and upskilling employees in regression, courses like Excel Regression Models for Business Forecasting and Variable Selection, Model Validation, Nonlinear Regression are excellent choices. These courses provide practical skills that can be directly applied in the workplace, enhancing employees' ability to analyze data and make informed decisions.‎

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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