
Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Intermediate · Specialization · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Software, Probability Distribution, Statistical Analysis, Data Analysis, Markov Model, Model Evaluation, R (Software), Data Science
Intermediate · Specialization · 3 - 6 Months

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Asset Management, Network Analysis, Data Visualization Software, Investments, Machine Learning Methods, Return On Investment, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Social Network Analysis, Financial Statements, Applied Machine Learning, Financial Market, Financial Modeling, Risk Management
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Markov Model, Data Literacy, Statistical Analysis, Bayesian Statistics, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Mathematical Theory & Analysis
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Microsoft Excel, Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Model Evaluation, Applied Machine Learning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Performance Tuning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation, Algorithms
Intermediate · Specialization · 3 - 6 Months
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: Verification And Validation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks