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    • Regression Models

    Regression Models Courses Online

    Learn to build and interpret regression models for data analysis. Understand how to apply various regression techniques for accurate predictions.

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    Explore the Regression Models Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Intelligence (BI) Analyst

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Excel Formulas, Data Analysis, Data Cleansing, Data Wrangling, Data Mining, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 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
      V

      Vanderbilt University

      Generative AI Leadership & Strategy

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Productivity, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Artificial Intelligence, Large Language Modeling, Business Leadership, Proposal Writing, Leadership and Management, Creativity, Problem Solving, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.8K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, 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
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, ChatGPT, Prompt Engineering, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Computing Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      221 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Building Regression Models with Linear Algebra

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Business Analysis, Statistical Methods, Sample Size Determination

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    Regression Models learners also search

    Regression
    Regression Analysis
    Linear Regression
    Logistic Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    1…567…178

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

    • IBM Business Intelligence (BI) Analyst: IBM
    • Learn SQL Basics for Data Science: University of California, Davis
    • Generative AI Leadership & Strategy: Vanderbilt University
    • Tools for Data Science: IBM
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Generative AI with Large Language Models: DeepLearning.AI
    • Machine Learning: Regression: University of Washington
    • Generative AI: Foundation Models and Platforms: IBM
    • Building Regression Models with Linear Algebra: Howard 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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