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.

Macquarie University
Skills you'll gain: Data Visualization, Statistical Inference, Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Statistical Methods, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Box Plots, Time Series Analysis and Forecasting, Data Analysis Software, Statistical Modeling, Advanced Analytics, Financial Forecasting, Probability Distribution, Descriptive Analytics, Variance Analysis, Predictive Modeling
★ 4.7 (137) · Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming
★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Data Visualization, Microsoft Excel, Data Presentation, Interactive Data Visualization, Excel Formulas, Pivot Tables And Charts, Dashboard Creation, Dashboard, Excel Macros, Statistical Methods, Spreadsheet Software, Data Analysis, Analytics, Data Preprocessing, Regression Analysis, Descriptive Statistics
★ 4.3 (43) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard Creation, Dashboard, SPSS (Software), SPSS, Descriptive Analytics, Data Transformation, Data Visualization, Advanced Analytics, Data Wrangling, Logistic Regression, Statistical Hypothesis Testing, Statistical Machine Learning, Data Manipulation, Regression Analysis, Analytics, Data Presentation, Correlation Analysis, Data Literacy, Data Preprocessing, Data Analysis
★ 4.9 (34) · Beginner · Specialization · 3 - 6 Months

ESSEC Business School
Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Statistical Programming, Customer Insights, R Programming, R (Software), Customer Data Management, Data-Driven Decision-Making, Data Analysis Software, Target Market, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Statistical Methods
★ 4.6 (762) · Mixed · Course · 1 - 3 Months

28DIGITAL
Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms
★ 4.3 (274) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
★ 4.9 (11) · Beginner · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Statistical Modeling, 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
★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
★ 4.7 (419) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Descriptive Statistics, Data Presentation, Statistical Hypothesis Testing, Statistical Visualization, Regression Analysis, Forecasting, Probability Distribution, Data Visualization Software, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Probability & Statistics, Microsoft Excel, Descriptive Analytics, Statistics, Spreadsheet Software, Predictive Analytics, Predictive Modeling
★ 4.6 (154) · Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming
★ 4.6 (45) · Intermediate · Course · 1 - 3 Months

Simplilearn
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
★ 3.8 (13) · Beginner · Specialization · 1 - 3 Months