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: Risk Analysis, Investment Management, Banking, Financial Trading, Financial Regulation, Capital Markets, Securities (Finance), Bank Regulations, Operational Analysis, Securities Trading, Market Analysis, Credit Risk, Market Dynamics, Market Data, Corporate Finance, Regulatory Compliance, Reconciliation
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Medical Terminology, Human Musculoskeletal System, Orthopedics, Medical Records, Electronic Medical Record System, Urology, Anatomy, Physiology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Entry, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Spreadsheet Software, Data Visualization Software, Dashboard, Data Analysis, Data Management, Business Analytics, Data Visualization, Exploratory Data Analysis, Productivity Software, Data Analysis Expressions (DAX), Data Presentation, Trend Analysis, Graphing, Decision Making, Data Manipulation, Debugging
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Cloud Deployment, Google Cloud Platform, Serverless Computing, Model Deployment, Generative AI, Applied Machine Learning, Application Deployment, Machine Learning Methods, Containerization, Performance Tuning, Scalability
Beginner · 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
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
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

Skills you'll gain: Ad Hoc Reporting, Customer Analysis, Management Reporting, Real Time Data, Marketing Analytics, Trend Analysis, Performance Analysis
Beginner · Course · 1 - 4 Weeks

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

University of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months