Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.

Google Cloud
Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Deployment, Embeddings, Model Evaluation, Data Preprocessing, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Extract, Transform, Load, Data Modeling, Clinical Data Management, Database Design, Data Warehousing, Data Quality, Data Transformation, Data Integration, Health Informatics, Relational Databases, SQL
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Transfer Learning, Embeddings, Model Evaluation
Advanced · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Deep Teaching Solutions
Skills you'll gain: Deductive Reasoning, Cognitive flexibility, Logical Reasoning, Critical Thinking, Analytical Skills, Open Mindset, Systems Thinking, Problem Solving, Decision Making, Self-Awareness
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: LLM Application, Large Language Modeling, AI Enablement, Generative AI, Forecasting, Artificial Intelligence, Business Strategies, Natural Language Processing, Business Analysis, Technology Roadmaps
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks