Stochastic Courses
Stochastic courses can help you learn probability theory, random processes, statistical inference, and risk assessment techniques. You can build skills in modeling uncertainty, analyzing time series data, and applying stochastic simulations to real-world problems. Many courses introduce tools like R, Python, and MATLAB, that support implementing stochastic models and conducting simulations, allowing you to visualize outcomes and make data-driven decisions.
Popular Stochastic Courses and Certifications
Status: Free TrialSkills you'll gain: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics
Status: PreviewSkills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Simulation and Simulation Software, Mathematics Education, Interactive Design, Experimentation, Chemistry, Graphing, Physics, Biology, Algebra, Geometry
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations
Status: PreviewNortheastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Status: PreviewPolitecnico di Milano
Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Advanced Mathematics, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
Status: Free TrialUniversity of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Status: Free TrialRice University
Skills you'll gain: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Case Studies, Statistical Analysis, Quantitative Research, Data Analysis, Correlation Analysis
Status: PreviewSkills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra
In summary, here are 10 of our most popular stochastic courses
- Introduction to NLP and Syntactic Processing: Packt
- Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
- Algebra and Differential Calculus for Data Science: University of Colorado Boulder
- Diseño de Actividades con PhET para la Educación STEM: University of Colorado Boulder
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Derivatives: a guide to calculation: Politecnico di Milano
- Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
- Machine Learning: Classification: University of Washington
