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  • Probability

Results for "probability "


  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    S

    SAS

    Statistics with SAS

    Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    299 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistics, Regression Analysis, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Statistical Modeling, Statistical Inference, Estimation, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
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    138 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
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    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algorithms for Searching, Sorting, and Indexing

    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Data Science, Analysis, Big Data, Probability & Statistics, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    518 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Statistical Modeling, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    103 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
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    930 reviews

    Intermediate · Course · 1 - 4 Weeks

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    T

    The Chinese University of Hong Kong

    Information Theory

    Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms, General Mathematics

    4.7
    Rating, 4.7 out of 5 stars
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    164 reviews

    Mixed · Course · 3 - 6 Months

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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms

    Mixed · Course · 1 - 3 Months

Searches related to probability

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probability theory and regression for predictive analytics
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In summary, here are 10 of our most popular probability courses

  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Statistics with SAS: SAS
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
  • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
  • Machine Learning: Classification: University of Washington
  • Introduction to Neural Networks and PyTorch: IBM
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Inferential Statistical Analysis with Python: University of Michigan
  • Information Theory: The Chinese University of Hong Kong

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