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 London
Skills you'll gain: Public History, Storytelling, Program Evaluation, Media and Communications, Research, Community Outreach, Timelines, Case Studies, Cultural Diversity, Research Methodologies, Creativity, Interviewing Skills
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Agile Project Management, Scrum (Software Development), Sprint Planning, Scaled Agile Framework, Sprint Retrospectives, Agile Software Development, Agile Methodology, Team Management, Project Management Institute (PMI) Methodology, Team Performance Management, Agile Product Development, Backlogs, Kanban Principles, Project Management, Planning, User Story, Lean Methodologies, Continuous Delivery, Risk Management Framework, Product Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Engineering, Data Presentation, Key Performance Indicators (KPIs), Dashboard, Business Analytics, Business Intelligence, Extract, Transform, Load, Performance Analysis, Data Transformation, SQL, Automation, Data Management, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
Intermediate · Course · 3 - 6 Months
University of Maryland, College Park
Skills you'll gain: Health Informatics, Public Health, Health Policy, Health Care Administration, Clinical Leadership, Informatics, Health Care, Health Systems, Data Integration, Health Technology, Data Analysis Software, Interoperability
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence
Beginner · Specialization · 1 - 3 Months

University of Glasgow
Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science
Beginner · Guided Project · Less Than 2 Hours