Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Verification And Validation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory Management System, Logistics, Forecasting, Exploratory Data Analysis, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Correlation Analysis, Transportation Operations, Statistical Analysis, Data Analysis, Machine Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Intermediate · Course · 1 - 4 Weeks