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.

University of Colorado Boulder
Skills you'll gain: Microsoft Excel, Regression Analysis, Data Validation, Excel Formulas, Data Management, Data Visualization, Spreadsheet Software, Statistical Modeling, Data Cleansing, Financial Analysis, Predictive Modeling, Data Analysis Expressions (DAX), Financial Modeling, Analysis, Data Integrity, Mathematical Modeling, Productivity Software, Complex Problem Solving, Financial Forecasting, Problem Solving
Beginner · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Keyword Research, Target Audience, Branding, Target Market, Digital Marketing, Social Media Strategy, Content Strategy, Brand Awareness, Consumer Behaviour, User Research, Algorithms, Data Analysis, Business Reporting
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Computer Programming, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Test Planning, Statistical Analysis, Financial Analysis, Financial Data, Statistical Inference, Risk Analysis, Performance Metric, Spreadsheet Software, Decision Making, Project Documentation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Preprocessing, Data Analysis, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Performance Metric, Performance Analysis, Business Metrics, Marketing Analytics, Performance Management, Data-Driven Decision-Making, Benchmarking, Root Cause Analysis, Goal Setting, Gap Analysis, Statistical Hypothesis Testing, Corrective and Preventive Action (CAPA), Trend Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pivot Tables And Charts, Excel Formulas, Microsoft Excel, Case Studies, Performance Analysis, Variance Analysis, Trend Analysis, Data Manipulation, Human Resources Information System (HRIS), Budgeting, Employee Performance Management, Performance Measurement, Business Analysis, Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks