Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: OpenShift, Jupyter, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Deployment, Data Storage
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Customer Insights, AI Personalization, Customer Analysis, Customer experience strategy (CX), Generative AI, User Feedback, Customer Data Management, Customer Engagement, Business Intelligence, Trend Analysis, Data-Driven Decision-Making, Predictive Analytics, Data Analysis, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Image Analysis, Google Cloud Platform, Metadata Management, Analysis, Applied Machine Learning, Computer Vision, Cloud Storage
Beginner · Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Image Analysis, Real Time Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: Computer Graphics, Event-Driven Programming, 3D Assets, Visualization (Computer Graphics), Application Development, Application Design, Debugging, Computer Graphic Techniques, Application Deployment, User Interface (UI), C++ (Programming Language), Software Development Life Cycle, Microsoft Windows, Software Architecture, Mathematical Theory & Analysis, Data Structures, Applied Mathematics, Linear Algebra, Algebra
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Transfer Learning, Image Analysis, Keras (Neural Network Library), Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Quality Management, Process Analysis, Process Improvement, Data-Driven Decision-Making, Continuous Improvement Process, Operational Excellence, Team Oriented, Statistical Process Controls, Pareto Chart, Statistical Methods, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks