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  • Regression Analysis

Regression Analysis Courses

Regression analysis courses can help you learn statistical modeling, hypothesis testing, and data interpretation. You can build skills in understanding relationships between variables, making predictions, and assessing model accuracy. Many courses introduce tools like R, Python, and Excel, which are commonly used for performing regression analysis and visualizing data trends.


Popular Regression Analysis Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Interactive Data Visualization, Business Reporting, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    6.8K reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

    Google

    Google Project Management

    Skills you'll gain: Quality Management, Project Closure, Scope Management, Team Management, Sprint Retrospectives, Project Management, Project Planning, Agile Project Management, Quality Assurance, Backlogs, Team Leadership, Project Management Life Cycle, Stakeholder Analysis, Project Controls, Project Implementation, Agile Methodology, Communication Planning, Change Management, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    140K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
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    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Model Deployment, Natural Language Processing, AI Enablement, Analytics, Data Analysis, Artificial Intelligence, Self Service Technologies, Application Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    8.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
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    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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

  • SAS Certification Practice Exams: SAS
  • Google Business Intelligence: Google
  • Google Project Management: Google
  • Applied Machine Learning in Python: University of Michigan
  • IBM Generative AI Engineering: IBM
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • Machine Learning: University of Washington
  • AI Foundations for Everyone: IBM
  • Advanced Learning Algorithms: DeepLearning.AI

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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