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 Colorado Boulder
Skills you'll gain: Computational Logic, System Requirements, Agentic systems, Theoretical Computer Science, Systems Analysis, Verification And Validation, Control Systems, Applied Mathematics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Data Management
Beginner · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Software Development Life Cycle, CI/CD, DevOps, Continuous Integration, Agile Software Development, Project Management, Software Development, Continuous Deployment, Application Deployment, Software Testing, Waterfall Methodology, Agile Methodology, Kanban Principles, Scrum (Software Development), Git (Version Control System), Automation
Beginner · Course · 1 - 4 Weeks

Universidade de São Paulo
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Embeddings, Applied Machine Learning, Classification Algorithms, Deep Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Process Improvement, Process Capability, Quality Control, Continuous Improvement Process, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs
Mixed · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
Beginner · Guided Project · Less Than 2 Hours

Macquarie University
Skills you'll gain: AI Security, Information Privacy, Personally Identifiable Information, Data Security, Threat Modeling, Vulnerability Assessments, Responsible AI, Data Governance, Data Management, Cyber Security Strategy, Data Integrity, Data Loss Prevention, Cloud Security, Cybersecurity, Security Awareness, Artificial Intelligence and Machine Learning (AI/ML), Security Management, Security Controls, Cyber Operations, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours