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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Popular Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Model Training, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Data Store, Data Integration, Data Lakes, Model Evaluation, Transfer Learning, Cloud Management, Machine Learning Methods, Machine Learning, Data Processing, Data Preprocessing, Data Pipelines, Data Transformation, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    621 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Chris Croft Training

    Decision Making: Complete Guide

    Skills you'll gain: Performance Measurement, Creative Problem-Solving, Decision Making, Creative Thinking, Creativity, Strategic Decision-Making, Innovation, Data-Driven Decision-Making, Cognitive flexibility, Data Literacy, Decision Tree Learning, Systems Of Measurement, Leadership, Data Analysis, Thought Leadership, Strategic Leadership, Initiative and Leadership, Data Strategy, Data Presentation, Creative Design

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    497 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
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    378 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
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    800 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
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    683 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Logistic Regression, Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    382 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Cost and Economics in Pricing Strategy

    Skills you'll gain: Market Dynamics, Revenue Management, Cost Accounting, Supply And Demand, Economics, Demand Planning, Cost Benefit Analysis, Consumer Behaviour, Marketing Channel, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    696 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Microsoft

    Microsoft Purpose Driven Leadership

    Skills you'll gain: Environmental Social And Corporate Governance (ESG), People Analytics, Stakeholder Engagement, Responsible AI, Strategic Leadership, Sustainability Reporting, Leadership and Management, Sustainability Standards, Smart Goals, Analytics, Team Leadership, Key Performance Indicators (KPIs), Power BI, Goal-Oriented, Strategic Communication, Communication Planning, Decision Making, Microsoft Copilot, Communication Strategies, Decision Tree Learning

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Storytelling, Social Network Analysis, Data Presentation, Exploratory Data Analysis, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Statistical Machine Learning, Bayesian Statistics, Dimensionality Reduction, Data Visualization, Statistical Visualization, Data Analysis, Machine Learning Methods, Data Preprocessing, Statistical Programming, Web Scraping, Applied Machine Learning, Statistical Modeling, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Designing, Running, and Analyzing Experiments

    Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, User Experience Design, Statistical Programming, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Data Collection, Human Computer Interaction, Statistics, Data Validation, Statistical Modeling, Regression Analysis, Logistic Regression

    3.6
    Rating, 3.6 out of 5 stars
    ·
    596 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Decision Making: Complete Guide: Chris Croft Training
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Data Analysis with R: IBM
  • AI for Medical Prognosis: DeepLearning.AI
  • Guided Tour of Machine Learning in Finance: New York University
  • Statistics for Genomic Data Science: Johns Hopkins University
  • Cost and Economics in Pricing Strategy: University of Virginia
  • Microsoft Purpose Driven Leadership: Microsoft
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera

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