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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

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment

    4.8
    Rating, 4.8 out of 5 stars
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    289 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Model Deployment, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    101K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Customer Analytics

    Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Data Collection, Process Optimization, Regression Analysis, Market Research

    4.6
    Rating, 4.6 out of 5 stars
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    12K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statements, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Risk Analysis, Financial Analysis, Spreadsheet Software, Capital Expenditure, Excel Formulas, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
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    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Model Deployment, Legal Risk, IBM Cloud, Prototyping

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Data Storage, Peripheral Devices, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, Cloud Storage, OSI Models, General Networking, Data Security, Test Planning

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

    Beginner · Specialization · 3 - 6 Months

Searches related to regression models

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regression & logistic models in excel & minitab
building statistical models in r: linear regression
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In summary, here are 10 of our most popular regression models courses

  • Biostatistics in Public Health: Johns Hopkins University
  • Data Analytics Methods for Marketing: Meta
  • Introduction to Data Science: IBM
  • Customer Analytics: University of Pennsylvania
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud
  • Generative AI Fundamentals: IBM
  • IBM Machine Learning: IBM
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Deep Learning & Neural Networks with Keras: 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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