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 Michigan
Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Generative AI, Oral Expression, Large Language Modeling, Ideation, Artificial Intelligence, Scenario Testing, Business Correspondence, Productivity, Complex Problem Solving, Report Writing, Organizational Skills, Solution Design, Document Management, Critical Thinking, Software Versioning, Context Management, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Market Research, Product Strategy, Strategic Marketing, Workflow Management, Survey Creation, No-Code Development, Consumer Behaviour, Market Analysis, Customer Insights, Quantitative Research, Data Integration, Business Process Automation, Automation, Data Collection, Real Time Data, Product Design, Cloud-Based Integration, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Data Presentation, Marketing, Analytics, Performance marketing, Web Analytics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), SQL, Data Manipulation, Data Analysis Software, Query Languages, Data Wrangling, Database Management, Data Transformation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics
Beginner · Guided Project · Less Than 2 Hours

Intuit
Skills you'll gain: Bookkeeping, Ledgers (Accounting), Accounting, Financial Statements, General Accounting, Transaction Processing, Balance Sheet, Income Statement, Accounting Software, Ethical Standards And Conduct, Cash Flows
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Data Visualization, Web Content Accessibility Guidelines, Data Presentation, Data Literacy, Data Visualization Software, Statistical Visualization, Heat Maps, Scatter Plots, Tableau Software, Microsoft Excel
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months