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.

Coursera
Skills you'll gain: Terraform, Infrastructure as Code (IaC), Infrastructure As A Service (IaaS), Microsoft Azure, IT Automation, DevOps
Beginner · Guided Project · Less Than 2 Hours

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Bioinformatics, Biotechnology, Data Management, Biostatistics, Data Mining, Applied Machine Learning, Unsupervised Learning, Scientific Visualization, Data Preprocessing, Correlation Analysis, Chemical and Biomedical Engineering, Dimensionality Reduction, Computational Thinking, Markov Model, Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Agile Project Management, Agile Software Development, Agile Methodology, Backlogs, Scrum (Software Development), User Story, Project Coordination, Sprint Planning, Project Management, Kanban Principles, Waterfall Methodology, Lean Methodologies, Prioritization, Cross-Functional Collaboration, Estimation, Problem Solving
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Control Systems, Applied Mathematics, Mathematical Modeling, Linear Algebra, Calculus
Advanced · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Sustainable Business, Sustainable Development, Corporate Sustainability, Product Development, Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Consumer Behaviour, Product Design, Environmental Issue, New Product Development, Innovation, Design Thinking, Market Opportunities, Business Strategies, Customer Analysis, Market Research, Business Development, Value Propositions, Communication Strategies
Build toward a degree
Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Responsible AI, HR Tech, Employee Engagement, Human Resources, Generative AI, Data Ethics, Talent Recruitment, Talent Acquisition, Human Resource Strategy, Recruitment, Trend Analysis, Employee Training, Employee Retention, Data-Driven Decision-Making, Workforce Development, Workforce Planning
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Caltech
Skills you'll gain: Specimen Preparation, Medical Imaging, Image Analysis, Cell Biology, Laboratory Techniques, Specimen Collection, Digital Signal Processing, Scientific Visualization, 3D Modeling, Spatial Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Statistical Machine Learning, Embeddings, MLOps (Machine Learning Operations), Data Strategy, Machine Learning Algorithms, Supervised Learning, Model Evaluation, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks