Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.

National Taiwan University
Skills you'll gain: Logistic Regression, Statistical Programming, R Programming, Statistical Methods, Statistical Analysis, Case Studies, Model Evaluation, R (Software), Statistical Modeling, Statistical Software, Regression Analysis, Advanced Analytics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Business Analytics, Estimation
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Game Theory, Cyber Security Strategy, Data-Driven Decision-Making, Decision Intelligence, Cybersecurity, Data Science, Algorithms, Machine Learning
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: Algorithms, Graph Theory, Model Optimization, Applied Mathematics, Theoretical Computer Science, Combinatorics, Operations Research
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks