Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Marketing Analytics, Customer Analysis, Marketing Effectiveness, Customer Retention, Advanced Analytics, Market Analysis, Sales Management, Customer Insights, Loyalty Programs, Data-Driven Decision-Making, Customer Service, Predictive Analytics, Business Metrics, Case Studies, R Programming, Performance Metric
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
Mixed · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Collection, Performance Measurement, Regression Analysis, Probability, Statistics, Process Improvement, Quality Improvement, Business Process, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Financial Market, Equities, Capital Markets, Economics, Investment Management, Business Valuation, Market Analysis, Portfolio Management, Financial Analysis, Market Dynamics, Econometrics, Analysis, Forecasting, Asset Management
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Data Analysis, Machine Learning Methods, Predictive Analytics, Machine Learning, Data Science
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Social Media Campaigns, Social Media Marketing, Social Media Strategy, AI Personalization, Real Time Data, Marketing Analytics, Customer Insights, AI Enablement, Target Audience, Marketing Strategies, Driving engagement, Marketing Automation, A/B Testing, Content Creation, Persona Development, Generative AI, Brand Strategy, Data-Driven Decision-Making, Trend Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks

University of Geneva
Skills you'll gain: Financial Market, Capital Markets, Portfolio Management, Investments, Market Dynamics, Equities, Portfolio Risk, Economics, Banking, Asset Management, Risk Management, Financial Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Forecasting, Revenue Forecasting, Market Dynamics, Forecasting, Market Trend, Financial Data, Customer Demand Planning, Trend Analysis, Market Analysis, Market Intelligence, Revenue Management, Consumer Behaviour, Financial Planning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Brand Awareness, Data Storytelling, Brand Strategy, Data Integration, Brand Management, Trend Analysis, Dashboard, Press Releases, Marketing Analytics, Case Studies, Competitive Analysis, Marketing Strategies, Social Media Campaigns, Market Intelligence, Data-Driven Decision-Making
Intermediate · Course · 1 - 4 Weeks

Knowledge Accelerators
Skills you'll gain: Power BI, Data Presentation, Microsoft Excel, Dashboard, Excel Formulas, Data Modeling, Business Reporting, Data Entry, Data Analysis, Data Storytelling, Data-Driven Decision-Making, Business Analytics, Analytics, Business Modeling, Data Processing, Business Analysis, Data Cleansing, Data Synthesis, Trend Analysis, Data Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
Intermediate · Course · 1 - 4 Weeks