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.

University of Geneva
Skills you'll gain: Financial Systems, Financial Market, Capital Markets, Portfolio Management, Investments, Market Dynamics, Securities (Finance), Finance, Equities, Investment Management, Investment Banking, Portfolio Risk, Financial Policy, Economics, Risk Analysis, Banking, Risk Management, Return On Investment
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Failure Analysis, Applied Machine Learning, Machine Learning, Decision Intelligence, Random Forest Algorithm, Email Automation, No-Code Development, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Predictive Analytics, Automation Engineering, Model Training, Automation, Model Deployment, AI Workflows, Data-Driven Decision-Making, Continuous Monitoring, Estimation, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistical Methods, Analysis, Advanced Mathematics, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data-Driven Marketing, Email Marketing, Data-Driven Decision-Making, Marketing Analytics, Content Optimization, Content Performance Analysis, Campaign Management, Campaign Planning, Email Automation, Test Tools, Analysis, Test Planning, Statistics, Test Data, Statistical Hypothesis Testing, Target Audience, Performance Metric
Beginner · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Project Schedules, Business Process, Project Management
Beginner · Specialization · 3 - 6 Months

Rice University
Skills you'll gain: Communication Planning, Stakeholder Management, Organizational Structure, Project Documentation, Stakeholder Engagement, Project Management, Engineering Management, Project Management Life Cycle, Project Coordination, Stakeholder Analysis, Project Scoping, Program Evaluation, Stakeholder Communications, Planning, Project Planning, Cost Benefit Analysis, Requirements Management, Project Performance, Financial Analysis, Project Management Institute (PMI) Methodology
Beginner · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Risk Management, Risk Modeling, Statistical Modeling, Combinatorics, Statistical Analysis, Variance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Collection, Marketing, Data-Driven Marketing, Marketing Analytics, Digital Marketing Tools, Google Analytics, Online Advertising, Meta Ads Manager, Digital Marketing, Data Capture, Application Programming Interface (API), Law, Regulation, and Compliance, Web Analytics, Information Privacy, Data Integration, Analytics, Data Analysis, Advertising
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard Creation, Real Time Data, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Lakes, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Tensorflow, Data Store, Data Warehousing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Extract, Transform, Load, Database Software, Database Administration, PySpark, Apache Hive, Machine Learning Methods, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Model Evaluation
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Logical Reasoning, Data Analysis, Deductive Reasoning, Analytical Skills, Analysis, Experimentation, Critical Thinking, Data Literacy, Critical Thinking and Problem Solving, Statistical Methods, Bayesian Statistics, Science and Research, Research Design, Behavioral Economics, Decision Making, Cognitive flexibility, Regression Analysis, Statistical Inference, Forecasting, Adaptability
Beginner · Course · 1 - 3 Months