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 Michigan
Skills you'll gain: Matplotlib, Data Visualization, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Data Presentation, Data Literacy, Graphing, Graphic and Visual Design, Data Manipulation, Python Programming
★ 4.5 (6.3K) · Intermediate · Course · 1 - 4 Weeks

Chegg Skills
Skills you'll gain: Prompt Engineering, UI/UX Research, User Research, Design Research, Responsible AI, User Experience Design, User Experience, Visual Design, Graphic and Visual Design, Web Design, User Centered Design, Layout Design, User Interface and User Experience (UI/UX) Design, Data Ethics, ChatGPT, User Interface (UI) Design, Design Thinking, Artificial Intelligence, Generative AI, Prototyping
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis Expressions (DAX), Key Performance Indicators (KPIs), Power BI, Earned Value Management, Business Metrics, Project Performance, Performance Measurement, Customer Analysis, Marketing Analytics, Performance Metric, Project Controls, Performance Analysis, Customer Insights, Business Intelligence, Customer Retention, Operational Efficiency, Project Accounting, Data Analysis, Business Analysis, Business Operations
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing
★ 4.8 (11) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Dimensionality Reduction, Data Transformation, Fine-tuning
Advanced · Course · 1 - 3 Months
University of Maryland, College Park
Skills you'll gain: Health Informatics, Public Health, Health Policy, Public Health and Disease Prevention, Clinical Informatics, Health Care Administration, Health Administration, Informatics, Health Care, Health Systems, Healthcare Industry Knowledge, Health Care Procedure and Regulation, Data Sharing, Health Technology, Interoperability
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution
★ 4.7 (1.6K) · Beginner · Course · 1 - 4 Weeks

Niel Asher Education
Skills you'll gain: Clinical Practices, Kinesiology, Neurology, Athletic Training
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Python Programming, Program Development, Game Design, Code Reusability, Computer Programming, Programming Principles, Functional Design, Development Environment, Computational Logic, Building Codes
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, Data Processing, Data Transformation, Generative AI Agents, Generative AI, Workflow Management, Artificial Intelligence, Context Management, Memory Management, Automation, JSON
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, ChatGPT, Generative AI, Responsible AI, AI literacy, Generative AI Agents, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Artificial Intelligence, AI Workflows, Large Language Modeling, Embeddings, GitHub Copilot, Fine-tuning, Deep Learning, Automation, Machine Learning, Machine Learning Methods
Beginner · Course · 1 - 4 Weeks