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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


  • E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Machine Learning Methods, Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Model Training, Artificial Neural Networks, Data Preprocessing, Model Optimization

    3.4 stars, 34 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.4 (34) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Decision Intelligence, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Data Validation, Performance Measurement

    4.3 stars, 34 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (34) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, R (Software), Statistical Programming

    4.5 stars, 39 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (39) · Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    4.5 stars, 32 reviews, Intermediate, Specialization, 3 - 6 Months

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

    Status: Free trial
    Free trial
  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Modeling, Financial Data, Risk Analysis, Investment Management, Return On Investment, Time Series Analysis and Forecasting, Financial Modeling, Investments, Object Oriented Programming (OOP), Statistical Analysis, General Finance, Correlation Analysis, Simulations, Regression Analysis, Financial Forecasting, Simulation and Simulation Software, Jupyter, Python Programming

    4.5 stars, 12 reviews, Intermediate, Course, 3 - 6 Months

    ★ 4.5 (12) · Intermediate · Course · 3 - 6 Months

  • O

    O.P. Jindal Global University

    Econometrics - Theory and Practice

    Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Economics, Statistical Inference, Mathematical Modeling, Probability Distribution, Logistic Regression, Model Evaluation

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability

    4.6 stars, 11 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (11) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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, Data Preprocessing, Machine Learning, Model Optimization, Machine Learning Algorithms, Fine-tuning, Performance Metric

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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

    4.5 stars, 100 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.5 (100) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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, Model Training

    4.7 stars, 34 reviews, Intermediate, Guided Project, Less Than 2 Hours

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

  • U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    5 stars, 7 reviews, Intermediate, Course, 1 - 3 Months

    ★ 5 (7) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • B

    Board Infinity

    Automation and Modern Testing Tools

    Skills you'll gain: Test Automation, Performance Testing, Software Testing, API Testing, Test Script Development, Security Testing, Continuous Integration, Test Tools, AI Security, CI/CD, Performance Stress Testing, Regression Testing, AI Integrations, Scalability, Automation, Test Case, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
1…202122…63

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

  • Machine Learning and NLP Basics: Edureka
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Python for Finance: Investment Fundamentals & Data Analytics: Packt
  • Econometrics - Theory and Practice: O.P. Jindal Global University
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Train Machine Learning Models: CertNexus
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Graduate Admission Prediction with Pyspark ML: Coursera

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