
Fractal Analytics
Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Data Modeling, Machine Learning, Problem Solving, Python Programming
Beginner · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, Decision Tree Learning, Predictive Modeling, Cloud Computing, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
Advanced · Specialization · 3 - 6 Months