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.

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

Skills you'll gain: SketchUp (3D Modeling Software), Architectural Design, Architectural Drawing, 3D Modeling, Software Installation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Strategic Prioritization, Web Analytics, Product Roadmaps, Business Analytics, Analytics, Product Management, Data-Driven Decision-Making, Predictive Modeling, Prioritization, Customer Analysis, Root Cause Analysis, Performance Analysis, Forecasting, User Flows, Performance Metric, Customer Retention, Data Capture, Resource Allocation, Statistical Methods
Intermediate · Course · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Performance Metric, Performance Measurement, Failure Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months

University at Buffalo
Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Databases, Data Integrity
Beginner · Course · 1 - 4 Weeks

Knowledge Accelerators
Skills you'll gain: Power BI, Business Intelligence, Data Visualization, Business Reporting, Business Analytics, Data Analysis, Data Synthesis, Excel Formulas, Data Manipulation, Collaborative Software, Trend Analysis, Data Management, Data Quality
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment, Devops Tools
Intermediate · Course · 1 - 4 Weeks
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