Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.

Maven Analytics
Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Model Training, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Model Optimization, Classification Algorithms, Statistical Analysis, Data Science, Machine Learning Methods, Forecasting, Statistical Methods, Data Preprocessing, Data Mining, Machine Learning, Supervised Learning, Business Intelligence
Beginner · Course · 1 - 3 Months

Howard University
Skills you'll gain: Linear Algebra, Data Visualization, Scientific Visualization, NumPy, Mathematical Software, Algebra, Jupyter, Mathematical Modeling, Data Science, Software Development Tools, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)
★ 4.4 (16) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management
★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Portfolio Risk, Statistical Methods, Pandas (Python Package), Statistical Hypothesis Testing, Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Feature Engineering, Regression Analysis, Financial Analysis, Jupyter, Financial Market, Market Data, Predictive Modeling, Python Programming, Data Visualization
★ 4.4 (4.6K) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Decision Tree Learning, Data Ethics, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Excel Formulas, Classification Algorithms, Data-Driven Decision-Making, Business Analytics, Financial Forecasting, Data Analysis, Model Evaluation, Business Risk Management, Data Literacy
★ 4.2 (4K) · Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Statistical Hypothesis Testing, Predictive Modeling, Descriptive Statistics, Model Evaluation, Public Health
★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)
★ 4.7 (2.1K) · Beginner · Specialization · 3 - 6 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Sample Size Determination
★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Applied Machine Learning, Deep Learning, Model Training, Predictive Modeling, Model Optimization, Regression Analysis, Supervised Learning, Model Evaluation, Machine Learning, Data Processing, Data Preprocessing, Classification Algorithms
★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks