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.

Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, AI Enablement, Data Cleansing, OpenAI, Data Preprocessing, Data Analysis, Responsible AI, Transfer Learning, Exploratory Data Analysis, Interactive Data Visualization
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
Intermediate · Course · 1 - 3 Months

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: Target Audience, Generative AI, Social Media Marketing, Social Media, Social Media Content, AI Personalization, Social Media Strategy, MarTech, Content Creation, Digital Marketing
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, Model Deployment, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Transformation, Data Import/Export, Data Validation
Intermediate · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Algorithms, Computational Thinking, Applied Mathematics, Machine Learning Algorithms, Biology, Life Sciences, Artificial Intelligence, Computer Science, Programming Principles, Mathematical Modeling, Engineering Practices
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Environmental Issue, Food Safety and Sanitation, Nutrition and Diet, Manufacturing and Production, Production Process, Environment, Sustainability Standards, Sustainable Development, Pollution Prevention, Trend Analysis, Infectious Diseases, Public Health, Economics
Beginner · Course · 1 - 3 Months
Skills you'll gain: Governance, Data Ethics, Business Ethics, Business Leadership, Organizational Leadership, Governance Risk Management and Compliance, Ethical Standards And Conduct, Policy Development, Human Resource Policies, Culture Transformation, Business Transformation, Stakeholder Engagement, Data Governance, Responsible AI, Policy Analysis, Stakeholder Management, Change Management, Employee Engagement
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms
Beginner · Course · 1 - 3 Months