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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


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    Coursera

    Advanced Cypress Testing

    Skills you'll gain: API Testing, Test Script Development, Scenario Testing, Software Testing, Integration Testing, Test Case, Test Automation, Acceptance Testing, Test Tools, Regression Testing, Maintainability, Test Execution Engine, User Interface (UI), Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Automation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

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    Fractal Analytics

    Unlocking AI and ML : Your Path to Smart Business Solutions

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Business Intelligence, Data Quality, Business Process Automation, Data Analysis, Business Ethics, Business Analytics, Emerging Technologies, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Python Programming, Predictive Modeling, Unsupervised Learning

    Beginner · Course · 1 - 3 Months

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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Classify Text into Categories with the Natural Language API

    Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis

    Intermediate · Project · Less Than 2 Hours

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    Google Cloud

    Serverless Data Processing with Dataflow: Operations em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Site Reliability Engineering, Data Integrity, CI/CD, Performance Tuning, Data Processing, Event Monitoring, Unit Testing, Metadata Management, Disaster Recovery, Integration Testing

    Advanced · Course · 1 - 3 Months

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

    Advanced · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

Searches related to regression

regression & forecasting for data scientists using python
regression analysis
regression models
regression analysis: simplify complex data relationships
regression and classification
regression analysis - fundamentals & practical applications
regression & logistic models in excel & minitab
regression modeling in practice
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In summary, here are 10 of our most popular regression courses

  • Advanced Cypress Testing: Coursera
  • Foundations of ML & Python for Data Science: Packt
  • Unlocking AI and ML : Your Path to Smart Business Solutions: Fractal Analytics
  • Clustering and Classification with Machine Learning in R: Packt
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Natural Language Processing - Probability Models in Python: Packt
  • Classify Text into Categories with the Natural Language API: Google Cloud
  • Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud

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