Inferential statistics courses can help you learn hypothesis testing, confidence intervals, regression analysis, and sampling methods. You can build skills in interpreting data, making predictions, and drawing conclusions from sample data. Many courses introduce tools like R and Python for statistical analysis, along with software such as SPSS and Excel, that support applying these statistical techniques to real-world data sets.

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Modeling, Data Analysis Software, Correlation Analysis, Descriptive Statistics, Statistical Inference
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Advanced · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Machine Learning Methods, Statistical Methods, Bayesian Statistics, Data Literacy, Data Wrangling, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Data Processing, Data Architecture, Python Programming, Data Mapping, Data Integrity
Beginner · Course · 3 - 6 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods
Mixed · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: ArcGIS, GIS Software, Geographic Information Systems, Geospatial Information and Technology, Data Sharing, Geospatial Mapping, Spatial Analysis, Metadata Management, Data Quality, Data Mapping, Data Visualization, Data Visualization Software, Data Analysis, File Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Quality Improvement, Process Improvement and Optimization, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Analysis, Statistical Inference, Data Analysis, Variance Analysis, Graphing
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Data Mapping, Metadata Management, Query Languages, Data Manipulation, Data Synthesis, Data Visualization, Quantitative Research, Data Compilation, Data Access, Interactive Data Visualization, Data Processing, Typography, Data Wrangling
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Ethics, Business Research, Surveys, Survey Creation, Qualitative Research, Data Quality, Persona Development, Sample Size Determination, Data Governance, File Management, Sampling (Statistics), Market Research, Marketing Analytics, Return On Investment, Focus Group, Quantitative Research, General Data Protection Regulation (GDPR), Key Performance Indicators (KPIs), Research Design, Research Methodologies
Beginner · Specialization · 3 - 6 Months

Universidad Austral
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Analysis, Data Import/Export, Data Validation, Business Analysis, Process Optimization, Microsoft Access, Trend Analysis, Productivity Software, Data Integration, Automation
Intermediate · Course · 1 - 3 Months