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  • Stochastic

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


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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    649 reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Large Language Modeling, LLM Application

    4.9
    Rating, 4.9 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

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    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, R (Software), Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Statistical Methods, Probability & Statistics, Quantitative Research, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    718 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    318 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to stochastic

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In summary, here are 10 of our most popular stochastic courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Causal Inference 2: Columbia University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Inferenzstatistik: Duke University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Multiple Regression Analysis in Public Health : Johns Hopkins University
  • Natural Language Processing - Probability Models in Python: Packt
  • Regression and Classification: University of Colorado Boulder

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