Regression analysis courses can help you learn statistical modeling, hypothesis testing, and data interpretation. You can build skills in understanding relationships between variables, making predictions, and assessing model accuracy. Many courses introduce tools like R, Python, and Excel, which are commonly used for performing regression analysis and visualizing data trends.

Skills you'll gain: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Analysis, Plot (Graphics), Predictive Modeling, Data-Driven Decision-Making, Data Analysis
★ 4.5 (114) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration
★ 4.5 (54) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Presentations, Business Intelligence, Dashboard Creation, Dashboard, Tableau Software, IBM Cognos Analytics, Data Presentation, Statistical Analysis, Business Analytics, Data Analysis, Looker (Software), Regression Analysis, Data Visualization, PostgreSQL, Interactive Data Visualization, Query Languages, Data Visualization Software, Data Cleansing, Microsoft Excel, SQL
★ 4.7 (42) · Advanced · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Correlation Analysis, Research Design, Regression Analysis, Science and Research, Statistical Methods, Research Methodologies, Statistical Hypothesis Testing, Analysis, Statistical Inference, Statistical Analysis, Data Literacy, Statistics, Quantitative Research, Probability & Statistics, Descriptive Statistics, Statistical Modeling, Probability Distribution, Probability
Beginner · Course · 3 - 6 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis Software, Data Analysis, Digital Signal Processing, Statistical Methods, Advanced Analytics, Statistical Software, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Model Training
★ 5 (11) · Intermediate · Specialization · 3 - 6 Months

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing
★ 3.9 (25) · Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Investments, Performance Analysis, Risk Modeling, R Programming, R (Software), Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Market Data, Financial Modeling, Financial Forecasting, Financial Data, Statistical Programming, Risk Management, Correlation Analysis, Regression Analysis, Data Manipulation
★ 4.4 (7) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.8 (13) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.6 (19) · Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Classification Algorithms, Responsible AI, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Model Training, Machine Learning Software, Decision Tree Learning, Model Optimization, Regression Analysis
★ 4.5 (11) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation
Intermediate · Course · 1 - 4 Weeks