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.

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Platform As A Service (PaaS), GitHub
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Data Manipulation, Expense Management, Budgeting, Inventory Management System, Data Management, Data Visualization, Data Analysis, Business Analysis
Beginner · Guided Project · Less Than 2 Hours

Rice University
Skills you'll gain: Mechanics, Problem Solving, Physics, Graphing, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Mechanical Engineering, Geometry, Trigonometry
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Operations Management, Resource Allocation, Business Analytics, Inventory Management System, Case Studies, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Algorithms
Beginner · Course · 1 - 3 Months

Rice University
Skills you'll gain: Mechanics, Torque (Physics), Physics, Problem Solving, Mechanical Engineering, Engineering Calculations, Calculus, Engineering Analysis, Graphing, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Geometry, Trigonometry
Intermediate · Specialization · 1 - 3 Months

MathWorks
Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Visualization, Data Integration, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Technical Communication, Data Analysis, Plot (Graphics), Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Augmented and Virtual Reality (AR/VR), Virtual Reality, Augmented Reality, Virtual Environment, Digital Assets, Healthcare Ethics, Virtual Teams, E-Commerce, Collaborative Software, Blockchain, Diversity and Inclusion, Emerging Technologies, Research and Design, Education and Training, New Product Development, Content Creation, Communication, Economics, Safety and Security
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Model Deployment, Health Informatics, Model Evaluation, Clinical Data Management, Healthcare Ethics, Responsible AI, Data Collection, Applied Machine Learning, Health Care Procedure and Regulation, Machine Learning Software, Artificial Intelligence, Performance Tuning, Risk Modeling
Mixed · Course · 1 - 3 Months
University of Alberta
Skills you'll gain: Project Planning, Sprint Planning, Risk Management Framework, Agile Software Development, User Story, Agile Methodology, User Requirements Documents, Functional Requirement, Agile Project Management, Requirements Analysis, Software Development
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months