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.

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Jupyter, Machine Learning Methods, Applied Machine Learning, Image Analysis, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, AI Personalization, Deep Learning, Supervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming, Classification Algorithms, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Analytical Skills, Business Analytics, Analytics, Business Analysis, Unsupervised Learning, Case Studies, Anomaly Detection, Data-Driven Decision-Making, Process Mapping
Beginner · Course · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Visualization, Data Literacy, Statistical Visualization, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Analysis, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Processing, Data Capture, Performance Measurement, Data Cleansing, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Personalization, Customer Engagement, Customer experience improvement, Customer Relationship Management (CRM) Software, Customer Retention, Sales Strategy, Customer Analysis, Customer Relationship Management, Workflow Management, Driving engagement, Sales, Customer Insights, Customer Data Management, AI Integrations, AI literacy, Microsoft Copilot, Debugging, Data Ethics, Responsible AI, Trend Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Machine Learning Algorithms, AI Workflows
Intermediate · Specialization · 1 - 3 Months

LearnKartS
Skills you'll gain: Git (Version Control System), Version Control, IntelliJ IDEA, Integrated Development Environments, Software Development Tools, Microsoft Visual Studio, Eclipse (Software), Software Versioning, Release Management, Software Development
Intermediate · Course · 1 - 4 Weeks

Lund University
Skills you'll gain: Real-Time Operating Systems, Programming Principles, Control Systems, Event-Driven Programming, Robotics, Computer Programming, Program Development, Robotic Process Automation, Automation, Other Programming Languages, Real Time Data, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks

Tecnológico de Monterrey
Skills you'll gain: Value Propositions, Ideation, Market Opportunities, Entrepreneurship, New Product Development, Business Modeling, Innovation, New Business Development, Strategic Thinking, Entrepreneurial Finance, Sales Presentation, Business Leadership, Presentations, Customer Analysis, Succession Planning, Trend Analysis, Leadership
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Matplotlib, Data Processing, Plot (Graphics), Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Wrangling, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics
Intermediate · Guided Project · Less Than 2 Hours