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.

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Strategic Prioritization, Web Analytics, Product Roadmaps, Business Analytics, Analytics, Product Management, Data-Driven Decision-Making, Predictive Modeling, Prioritization, Customer Analysis, Root Cause Analysis, Performance Analysis, Forecasting, User Flows, Performance Metric, Customer Retention, Data Capture, Resource Allocation, Statistical Methods
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Data Science, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Responsive Web Design, Front-End Web Development, Web Design and Development, HTML and CSS, Web Development Tools, UI Components, Information Architecture, Wireframing, Application Frameworks, User Interface (UI) Design, Javascript
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Research, Persuasive Communication, Qualitative Research
Mixed · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Application Security, Cybersecurity, Email Security, Identity and Access Management, Firewall
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning
Beginner · Specialization · 1 - 3 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months