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.

Duke University
Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: C# (Programming Language), Microsoft SQL Servers, Application Development, Data Validation, Application Design, Database Application, Business Reporting, SQL, Data Access, User Interface (UI), Issue Tracking, Data Integrity, User Interface (UI) Design, Data Management
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Presentations, User Flows, Wireframing, HTML and CSS, Application Deployment, Frontend Performance, Branding
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Stakeholder Communications, Key Performance Indicators (KPIs), Performance Reporting, Brand Awareness, Google Analytics, Marketing Analytics, Brand Marketing, Performance Measurement, Market Share, Business Metrics, Brand Management, Web Analytics, Dashboard, Data-Driven Decision-Making, Analytics, Social Media, Spreadsheet Software, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization
Beginner · Course · 1 - 4 Weeks

Tableau Learning Partner
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization, Data Preprocessing, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Interactive Data Visualization, Data Management
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Verification And Validation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

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

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