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.

MathWorks
Skills you'll gain: Plot (Graphics), Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Data Visualization, Data Visualization Software, Descriptive Statistics, Interactive Data Visualization, Exploratory Data Analysis, Data Mapping, Data Cleansing, File Management, Technical Communication
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

Splunk Inc.
Skills you'll gain: Data Modeling, Splunk, Pivot Tables And Charts, Data Management, Database Management, Query Languages, Data Integration, Performance Tuning, Data Science, Data Analysis, Big Data, Business Intelligence, Business Analytics, Geospatial Information and Technology, Statistics
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Generative AI, Model Evaluation, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, AI Enablement, Artificial Intelligence, Big Data, Machine Learning, Social Impact
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Integrity, Model Evaluation, Data Access, Statistical Analysis, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Financial Modeling, Strategic Decision-Making, Financial Forecasting, Financial Analysis, Operating Expense, Financial Statement Analysis, Revenue Forecasting, Financial Data, Business Metrics, Business Valuation, Cash Flow Forecasting, Income Statement, Working Capital, Trend Analysis, Depreciation, Balance Sheet, Cash Flows
Mixed · Course · 1 - 4 Weeks

Splunk Inc.
Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization
Beginner · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Model Evaluation, Business Analysis, Predictive Modeling, Logistic Regression, Analytical Skills, Regression Analysis, Data Analysis, Data Preprocessing, Data Visualization
Mixed · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Strategy, Embeddings, Machine Learning, Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Dataflow, Data Ethics, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months