Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.

Nanjing University
Skills you'll gain: Data Mining, Data Analysis, Case Studies, Statistical Analysis, Financial Data, Data Presentation, Data Processing, User Interface (UI), Object Oriented Programming (OOP), Data Capture, Pandas (Python Package), NumPy, Python Programming, Data Manipulation, Scripting
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Model Evaluation, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Predictive Modeling, Software Engineering, Applied Machine Learning, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Coursera
Beginner · Course · 1 - 4 Weeks

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Media Planning, Spreadsheet Software, A/B Testing, Return On Investment, Marketing Analytics, Key Performance Indicators (KPIs), Google Analytics, Pivot Tables And Charts, Performance Measurement, Performance marketing, Digital Marketing, Data Presentation, Google Ads, Marketing Budgets, Marketing, Web Analytics and SEO, Data Analysis, Stakeholder Communications
Beginner · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Dependency Analysis, Performance Tuning, CI/CD, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing
Intermediate · Specialization · 3 - 6 Months

Packt
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation, Performance Metric
Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Analysis, Predictive Analytics, Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Supervised Learning, Cloud Computing
Beginner · Specialization · 3 - 6 Months

University of Amsterdam
Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct
Mixed · Course · 1 - 3 Months