
Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Data Modeling, Data Analysis, Microsoft Excel, Interactive Data Visualization, Advanced Analytics, Business Intelligence, Data Analysis Software, Statistical Analysis, Time Series Analysis and Forecasting, Microsoft PowerPoint, Microsoft 365, Microsoft Office, Query Languages
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Estimation, Data-Driven Decision-Making, Statistics, Analytical Skills, Data Visualization, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming
Advanced · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis
Intermediate · 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
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming
Intermediate · Course · 1 - 4 Weeks

SkillUp
Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months