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  • Applied Statistics

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Results for "applied statistics"


  • C

    Coursera

    Deep Learning for Real Estate Price Prediction

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Data Manipulation, Machine Learning, Real Estate, Regression Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Segmentation, Filtering, and Region Analysis

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Digital Signal Processing, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Davis

    Continuous Integration

    Skills you'll gain: Continuous Integration, CI/CD, Continuous Delivery, Continuous Deployment, Integration Testing, DevOps, Continuous Monitoring, System Monitoring, Docker (Software), Application Deployment, Security Controls, GitHub, Automation, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    National Academy of Sports Medicine

    Science of Fat Metabolism

    Skills you'll gain: Nutrition and Diet, Exercise Science, Sports Medicine, Nutrition Education, Physiology, Endocrinology, Stress Management, Biochemistry, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Fundamental Linear Algebra Concepts with Python

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    Lund University

    Working for a sustainable future: concepts and approaches

    Skills you'll gain: Sustainable Development, Systems Thinking, Sustainable Business, Sustainable Technologies, Sustainability Standards, Policy Development, Environmental Policy, Environmental Science, Climate Change Programs, Innovation, Environment and Resource Management, Natural Resource Management, Mathematical Modeling, Governance, Geospatial Information and Technology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    124 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    General Relativity I: Theoretical Foundations

    Skills you'll gain: Physics, Differential Equations, Linear Algebra, Calculus, electromagnetics, Mathematical Modeling, Advanced Mathematics, Mechanics, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Analysis with ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, LLM Application, AI Product Strategy, Data Analysis, Applied Machine Learning, OpenAI, Data-Driven Decision-Making, Analytical Skills, Exploratory Data Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

1…135136137…225

In summary, here are 10 of our most popular applied statistics courses

  • Deep Learning for Real Estate Price Prediction: Coursera
  • Image Segmentation, Filtering, and Region Analysis: MathWorks
  • Continuous Integration: University of California, Davis
  • Science of Fat Metabolism: National Academy of Sports Medicine
  • Machine Learning Algorithms: Sungkyunkwan University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Working for a sustainable future: concepts and approaches: Lund University
  • General Relativity I: Theoretical Foundations: The Hong Kong University of Science and Technology
  • Scikit-Learn For Machine Learning Classification Problems: Coursera

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