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
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Statistical Modeling, Machine Learning, Model Evaluation, Applied Machine Learning, Variance Analysis, Classification Algorithms, Python Programming
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Duke University
Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing
DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Illinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Programming, R Programming, Statistical Methods, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Data Science, Data Analysis, Probability & Statistics, Linear Algebra
What brings you to Coursera today?
University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Johns Hopkins University
Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Hypothesis Testing, Model Evaluation
Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms
Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming
Corporate Finance Institute
Skills you'll gain: Regression Analysis, Correlation Analysis, Advanced Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Statistical Programming, Data Analysis Software, Model Evaluation, Supervised Learning
University of Colorado Boulder
Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Predictive Analytics, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Estimation, Data Literacy, Sampling (Statistics), Anomaly Detection
Imperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Model Evaluation, Statistical Methods, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Statistical Software, Predictive Analytics, Probability & Statistics, R (Software), Public Health, Data Preprocessing
What brings you to Coursera today?
In summary, here are 10 of our most popular regression courses
- Regression Analysis: Simplify Complex Data Relationships:Â Google
- Regression Models:Â Johns Hopkins University
- Linear Regression and Modeling:Â Duke University
- Supervised Machine Learning: Regression and Classification:Â DeepLearning.AI
- Linear Regression:Â Illinois Tech
- Linear Algebra and Regression Fundamentals for Data Science:Â University of Pittsburgh
- Multiple Regression Analysis in Public Health:Â Johns Hopkins University
- Supervised Machine Learning: Regression:Â IBM
- Simple Linear Regression for the Absolute Beginner:Â Coursera
- Regression Analysis - Fundamentals & Practical Applications:Â Corporate Finance Institute
