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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: Preview
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

    Skills you'll gain: Tensorflow, Model Deployment, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Embeddings, Cloud Deployment, Deep Learning, Artificial Neural Networks, Machine Learning Methods

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

    Skills you'll gain: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, Data Preprocessing, Applied Machine Learning, Scalability, Artificial Neural Networks, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    N

    National Taiwan University

    服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points)

    Skills you'll gain: Revenue Management, Service Design, Customer experience improvement, Financial Services, Innovation, Economics, Product Design, Case Studies, Platform As A Service (PaaS), Business Modeling, Business Strategy, Consumer Behaviour

    4.8
    Rating, 4.8 out of 5 stars
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    151 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Python Programming, Decision Tree Learning, Regression Analysis, Dimensionality Reduction, Classification Algorithms, Data Preprocessing, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
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    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Deployment, Cloud Computing Architecture, Data Storytelling, Cloud Services, Cloud Infrastructure, Generative AI, Cloud Computing, Cloud Storage, Data Mining, Responsible AI, Cloud Security, Public Cloud, Infrastructure As A Service (IaaS), Big Data, Data Science, Regression Analysis, Natural Language Processing, Business Ethics, Business, Social Impact

    4.7
    Rating, 4.7 out of 5 stars
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    106K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LangChain, Model Evaluation, Prompt Patterns, Retrieval-Augmented Generation, Data Wrangling, Supervised Learning, LLM Application, Unsupervised Learning, PyTorch (Machine Learning Library), Exploratory Data Analysis, Generative Model Architectures, Data Analysis, Keras (Neural Network Library), Predictive Modeling, Convolutional Neural Networks, Generative AI, Jupyter, Flask (Web Framework)

    4.6
    Rating, 4.6 out of 5 stars
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    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard, Model Evaluation, Data Visualization Software, Data Wrangling, Data Visualization, Web Scraping, Supervised Learning, Data Modeling, Unsupervised Learning, SQL, Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Plotly, Data Analysis, Predictive Modeling, Jupyter, Professional Networking, Generative AI

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    149K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google IT Support

    Skills you'll gain: Package and Software Management, Operating System Administration, Computer Networking, Network Troubleshooting, IT Automation, Systems Administration, Cloud Infrastructure, OSI Models, IT Infrastructure, Version Control, General Networking, Desktop Support, Remote Access Systems, Network Security, TCP/IP, Microsoft Windows, Technical Support, Security Strategy, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    211K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Data Storytelling, AI Enablement, Generative AI, Data Mining, Responsible AI, AI Product Strategy, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Data Analysis, Business Strategy, Big Data, Business Process Automation, Data Architecture, Data Science, Regression Analysis, Natural Language Processing, Business Ethics, Leadership, Social Impact

    4.7
    Rating, 4.7 out of 5 stars
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    99K reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to regression models

excel regression models for business forecasting
spss: apply & interpret logistic regression models
building regression models with linear algebra
quantifying relationships with regression models
build regression, classification, and clustering models
generalized linear models and nonparametric regression
building statistical models in r: linear regression
regression & logistic models in excel & minitab
1…293031…240

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

  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • Machine Learning: DeepLearning.AI
  • 服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points): National Taiwan University
  • Machine Learning with Python: IBM
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Key Technologies for Business: IBM
  • IBM Generative AI Engineering: IBM
  • IBM Data Science: IBM

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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