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 Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Generative AI, Employee Retention, Analysis, Operational Efficiency
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Agile Methodology, Agile Software Development, Agile Project Management, Kanban Principles, Agile Product Development, Scrum (Software Development), Lean Methodologies, Sprint Retrospectives, Backlogs, Sprint Planning, Continuous Improvement Process, Stakeholder Engagement, Prioritization
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Benchmarking, Search Engine Optimization, Content Performance Analysis, Keyword Research, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Performance Improvement, Driving engagement, Trend Analysis, Customer Insights
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Deep Learning, Text Mining
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Statistical Methods, Dimensionality Reduction, Performance Tuning, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Bootstrap (Front-End Framework), Development Environment, HTML and CSS, Responsive Web Design, Version Control, Front-End Web Development, Git (Version Control System), Application Deployment, Integrated Development Environments, Web Development Tools, Cloud Hosting
Beginner · Course · 1 - 3 Months