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: AI Orchestration, AI Workflows, LangGraph, Agentic systems, OpenAI API, Model Deployment, Enterprise Application Management, Tool Calling, OAuth, Generative AI Agents, Middleware, Prompt Engineering, Real Time Data, Interoperability, API Gateway, LLM Application, Agentic Workflows, Enterprise Architecture, Software Development Tools, Application Deployment
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Validation, Geospatial Information and Technology, Geostatistics, Data Wrangling, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Video Production
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: User Story, Agile Software Development, Agile Methodology, Agile Project Management, Scrum (Software Development), Sprint Planning, Software Development Methodologies, Sprint Retrospectives, Backlogs, Continuous Integration, Test Driven Development (TDD)
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Social Media Management, Analytics, Social Media Marketing, Web Analytics, Social Media Campaigns, Scheduling, Social Media Strategy, Performance Analysis, Content Strategy, Descriptive Analytics, Trend Analysis, Content Creation, Process Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Generative AI, Machine Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), AI Enablement, Artificial Intelligence, NumPy, Python Programming
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Data Visualization, Server Side, Performance Tuning, R (Software), Dashboard, Application Lifecycle Management, Data Visualization Software, User Interface (UI), Web Applications, Authentications, Application Development, User Interface (UI) Design, Exploratory Data Analysis, Interactive Design, R Programming, Data Management
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Performance Reporting, Content Performance Analysis, Web Analytics, Google Analytics, Driving engagement, Performance Analysis, Marketing Analytics, Content Strategy, Data Analysis, Data-Driven Decision-Making, Target Audience, Analytics, Customer Insights, Trend Analysis, Marketing Strategies, Process Optimization, Multimedia
Beginner · Course · 1 - 3 Months

Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Google Analytics, Marketing Analytics, Marketing Budgets, Marketing Effectiveness, Web Analytics, Data-Driven Decision-Making, Return On Investment, Analytics, Performance marketing, Campaign Management, Financial Analysis, Event Monitoring, Data Analysis, Performance Analysis, Budget Management, Decision Making, Report Writing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Intermediate · Professional Certificate · 3 - 6 Months