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 Virginia
Skills you'll gain: New Product Development, Product Management, Innovation, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Design Thinking, Stakeholder Engagement, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Web Analytics, Business Modeling
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Agile Software Development, Project Risk Management, Requirements Analysis, Agile Methodology, Kanban Principles, Risk Management, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Risk Management Framework, Product Management, Project Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Cloud Deployment, Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Test Automation, Test Case, Software Testing, Automation, Continuous Integration, Acceptance Testing, Test Execution Engine, Integration Testing, Test Planning, Mobile Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Transfer Learning, Multimodal Prompts, Model Evaluation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Algorithms, Embeddings, Model Deployment, Real Time Data, Visualization (Computer Graphics), Applied Machine Learning, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning, Systems Design
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Data Manipulation, Feature Engineering, Data Validation, Pandas (Python Package), Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Security, Threat Detection, Large Language Modeling, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Strategy, Applied Machine Learning, Fraud detection, Cyber Engineering, IT Automation, Cyber Attacks, Anomaly Detection, Malware Protection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Cyber Risk, Deep Learning
Intermediate · Course · 3 - 6 Months

Beginner · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression
Advanced · Course · 1 - 3 Months