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: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting
Beginner · Course · 1 - 3 Months

Erasmus University Rotterdam
Skills you'll gain: Transportation Operations, Law, Regulation, and Compliance, Case Law, Labor Law, Labor Relations, Commercial Laws, Case Studies, Regulation and Legal Compliance, Court Systems, Civil Law, Workers Compensation, Legal Research, Coordination
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

University of Colorado System
Skills you'll gain: Estimation, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Control Systems, Mathematical Software, Simulation and Simulation Software, Model Evaluation, Derivatives, Calculus, Computer Programming Tools
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Quality Management, Quality Improvement, Kaizen Methodology, Quality Control, Brainstorming, Benchmarking, Process Improvement, Run Chart, Continuous Improvement Process, Pareto Chart, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Social Sciences, Psychology, Social Skills, Social Justice, Environmental Issue, Empathy & Emotional Intelligence, Interpersonal Communications, Emotional Intelligence, Sustainable Development, Legal Proceedings, Critical Thinking
Build toward a degree
Beginner · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, General Mathematics, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks