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  • Regression Models

Regression Models Courses

Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.


Popular Regression Models Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Computer Networking

    Skills you'll gain: OSI Models, Computer Networking, Network Routers, General Networking, TCP/IP, Networking Hardware, Network Troubleshooting, Network Switches, Local Area Networks, Network Infrastructure, Network Protocols, Network Performance Management, Network Model, Network Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    451 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Statistics, Statistical Modeling, Data Analysis, Probability & Statistics, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Product Managers

    Skills you'll gain: Prompt Engineering, AI Product Strategy, Prompt Patterns, Generative AI, Commercialization, Product Management, ChatGPT, Google Gemini, Product Lifecycle Management, Stakeholder Communications, Technical Product Management, Customer experience improvement, Team Building, Responsible AI, Artificial Intelligence, Return On Investment, Product Development, New Product Development, Artificial Intelligence and Machine Learning (AI/ML), Creativity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, Databricks, JSON, Statistical Analysis, Data Modeling, Database Design, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Image Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, AI Personalization, Data Processing, Data Analysis, Programming Principles, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Literacy, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Dashboard, Data Modeling, Data Cleansing, Data Transformation, Data Manipulation, Excel Macros, Infographics, Spreadsheet Software, Data Analysis Software, Data Validation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to regression models

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quantifying relationships with regression models
building regression models with linear algebra
excel regression models for business forecasting
generalized linear models and nonparametric regression
build regression, classification, and clustering models
regression & logistic models in excel & minitab
building statistical models in r: linear regression
1…343536…221

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

  • Practical Machine Learning: Johns Hopkins University
  • Foundations of Computer Networking: Packt
  • Statistics for Data Science with Python: IBM
  • Tools for Data Science: IBM
  • Machine Learning: Classification: University of Washington
  • Biostatistics in Public Health: Johns Hopkins University
  • Generative AI for Product Managers: IBM
  • Learn SQL Basics for Data Science: University of California, Davis
  • Generative AI: Prompt Engineering Basics: IBM
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University

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)

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