Learn to build and interpret regression models for data analysis. Understand how to apply various regression techniques for accurate predictions.

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Statistical Methods, Machine Learning Methods, Test Data, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours