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: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: AI Enablement, Artificial Intelligence, Customer Analysis, Business Analytics, Business Intelligence, Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Big Data, Data Analysis, Supervised Learning, Classification Algorithms, Natural Language Processing, Unsupervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Applied Mathematics, Linear Algebra, Algebra
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Responsible AI, Classification Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: AI Personalization, Wireframing, Generative AI, Prototyping, Figma (Design Software), Information Architecture, User Interface and User Experience (UI/UX) Design, User Flows, UI Components, Technical Design, Application Design, Software Architecture, Responsive Web Design
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks