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: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Presentations, User Flows, Wireframing, HTML and CSS, Application Deployment, Frontend Performance, Branding
Beginner · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Credit Risk, Operational Risk, Portfolio Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Risk Analysis, Derivatives, Governance, Portfolio Management, Capital Markets, Financial Analysis, Market Data, Key Performance Indicators (KPIs)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Generative AI Agents, Agentic systems, OpenAI API, Enterprise Application Management, Tool Calling, OAuth, Middleware, Performance Tuning, Real Time Data, Interoperability, API Gateway, Agentic Workflows, Software Development Tools, LLM Application, Prompt Engineering, Retrieval-Augmented Generation, Application Programming Interface (API)
Intermediate · Professional Certificate · 3 - 6 Months

The University of Edinburgh
Skills you'll gain: Applied Behavior Analysis, Behavior Management, Cultural Diversity, General Science and Research, Scientific Methods, Caregiving, Non-Verbal Communication, Ethical Standards And Conduct, Research, Biology
Mixed · Course · 1 - 3 Months

Packt
Skills you'll gain: IntelliJ IDEA, Apache Maven, Integrated Development Environments, Version Control, Unit Testing, Eclipse (Software), Development Environment, Software Development Tools, Debugging, Git (Version Control System), Java, Application Development, Node.JS
Intermediate · Course · 1 - 3 Months

Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, Hugging Face, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Data Processing, Data Preprocessing, Image Analysis, Large Language Modeling, Rust (Programming Language), Natural Language Processing, Generative AI, AI Orchestration, Data Validation, Cloud Deployment
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric
Beginner · Course · 1 - 4 Weeks