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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


  • C

    Coursera

    Playwright Power Techniques: Fast and Reliable Web Testing

    Skills you'll gain: Test Script Development, Software Testing, Scenario Testing, Test Automation, Regression Testing, Continuous Integration, Test Tools, CI/CD, Frontend Performance, Test Engineering, Browser Compatibility, Continuous Delivery, GitLab, Debugging, User Interface (UI), Scalability, Context Management, Authentications

    Advanced · Course · 1 - 4 Weeks

  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    ★ 4 (12) · Beginner · Specialization · 1 - 3 Months

  • C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Model Training, Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Regression Analysis, Machine Learning, Model Optimization, Statistical Modeling, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    ★ 4.4 (92) · Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    ★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture, Linear Algebra

    ★ 4.5 (43) · Intermediate · Specialization · 3 - 6 Months

    Category: Hot New Release
    Hot New Release
  • S

    Simplilearn

    Business Analytics using Excel

    Skills you'll gain: Data Visualization, Microsoft Excel, Interactive Data Visualization, Excel Formulas, Dashboard Creation, Pivot Tables And Charts, Dashboard, Excel Macros, Statistical Methods, Spreadsheet Software, Data Analysis, Analytics, Data Wrangling, Data Preprocessing, Regression Analysis, Analytical Skills, Descriptive Statistics

    ★ 4.3 (41) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Lean Six Sigma, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Test Tools, Statistical Methods, Statistical Software, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    ★ 4.6 (14) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Advanced Quantitative Statistics with Excel

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Visualization, Business Analysis, Statistical Analysis, Statistical Methods, Spreadsheet Software, Data Analysis, Correlation Analysis, Case Studies, Statistical Modeling, Statistical Inference, Probability & Statistics, Variance Analysis, Data Manipulation

    ★ 4.8 (14) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    ★ 3.8 (12) · Beginner · Specialization · 1 - 3 Months

  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Generative AI, Model Optimization, Regression Analysis

    ★ 4.5 (28) · Intermediate · Course · 1 - 4 Weeks

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

  • Playwright Power Techniques: Fast and Reliable Web Testing: Coursera
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Train Machine Learning Models: CertNexus
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Business Analytics using Excel: Simplilearn
  • RStudio for Six Sigma - Hypothesis Testing: Coursera
  • Advanced Quantitative Statistics with Excel: Coursera
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh

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