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.

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Data Visualization, Data Presentation, Data-Driven Decision-Making, Advanced Analytics, Business Analytics, AI Enablement, Business Reporting, Global Marketing, User Feedback, Regional Sales, Presentations, Key Performance Indicators (KPIs), Law, Regulation, and Compliance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, AI Personalization, Prompt Engineering, Web Content, User Experience, Web Analytics and SEO, Information Architecture, Google Cloud Platform
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Development Environment, Scalability, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Application Deployment, Gemini, Data Store, Cloud Applications, OAuth, Data Access, Productivity Software, Performance Metric, Collaborative Software, Identity and Access Management, Data Integration, Search Engine Marketing, Generative AI Agents, Information Architecture, Company, Product, and Service Knowledge
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Information Architecture, User Experience, Content Management, Usability, UI/UX Research, Usability Testing, Design Research, User Centered Design, User Research, Statistical Analysis, Content Strategy, Goal Setting, Sample Size Determination
Intermediate · Course · 1 - 3 Months