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.

Institute for the Future
Skills you'll gain: Forecasting, Visionary, Innovation, Proactivity, Strategic Thinking, Strategic Planning, Cognitive flexibility, Creative Thinking, Action Oriented, Simulations, Optimism, Planning, Community Organizing, Creativity, Social Impact, Systems Thinking, Virtual Reality, Responsible AI, Trend Analysis, Brainstorming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AI Personalization, Personalized Service, Customer Engagement, Customer experience improvement, Customer Relationship Management (CRM) Software, Customer Retention, Sales Strategy, Customer Relationship Management, Workflow Management, Sales, Customer Insights, Customer Data Management, AI Enablement, AI Workflows, Microsoft Copilot, Predictive Analytics, Data Ethics, Debugging, Responsible AI, Trend Analysis
Advanced · Course · 1 - 4 Weeks

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, Customer Insights, Analytics, Trend Analysis, Marketing Strategies, Process Optimization, Multimedia
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SolidWorks (CAD), Mechanical Design, Assembly Drawing, 3D Modeling, Computer-Aided Design, Integration Testing, Technical Design, Industrial Design, Functional Design, Structural Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Ad Hoc Reporting, Customer Analysis, Management Reporting, Real Time Data, Marketing Analytics, Trend Analysis, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Test Planning, Statistical Analysis, Financial Analysis, Financial Data, Statistical Inference, Risk Analysis, Performance Metric, Spreadsheet Software, Decision Making, Project Documentation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks
Beginner · Course · 1 - 3 Months

Skills you'll gain: Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Performance Metric, Performance Analysis, Business Metrics, Marketing Analytics, Performance Management, Data-Driven Decision-Making, Benchmarking, Root Cause Analysis, Goal Setting, Gap Analysis, Statistical Hypothesis Testing, Corrective and Preventive Action (CAPA), Trend Analysis
Beginner · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months