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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Visualization Best Practices

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Tableau Software, Design Elements And Principles, Exploratory Data Analysis, Histogram, Descriptive Statistics

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: R Programming, Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Analysis, Advanced Analytics, Predictive Modeling, Probability & Statistics, Machine Learning, Linear Algebra, Calculus

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      From Data To Decision With AI

      Skills you'll gain: Statistical Methods, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Data Visualization, Generative AI, Regression Analysis, Statistics, Histogram, Descriptive Statistics, Box Plots, Probability & Statistics, Data-Driven Decision-Making, Data Literacy, Predictive Analytics, Artificial Intelligence, Statistical Inference, Quantitative Research, Scatter Plots, Decision Making

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Prompt Engineering, Radiology, Healthcare Ethics, Generative AI, Medical Imaging, X-Ray Computed Tomography, Augmented and Virtual Reality (AR/VR), Data Ethics, Predictive Modeling, Artificial Intelligence, Chronic Diseases, Clinical Research, Health Care, Health Informatics, Simulations, Bayesian Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure for AI and Machine Learning

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Systems Integration, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Continuous Deployment, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universitat Autònoma de Barcelona

      Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

      Skills you'll gain: Image Analysis, Computer Vision, Supervised Learning, Machine Learning Methods, Machine Learning Algorithms, Feature Engineering, Spatial Analysis, Unsupervised Learning, Deep Learning, Histogram, Artificial Neural Networks

      4.3
      Rating, 4.3 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Building Intelligent Troubleshooting Agents

      Skills you'll gain: Generative AI Agents, Large Language Modeling, Natural Language Processing, ChatGPT, Prompt Engineering, Artificial Intelligence, Test Case, OpenAI, Debugging, Issue Tracking, Performance Testing, Python Programming, Performance Tuning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Keras (Neural Network Library), Data Cleansing, Data Quality, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Applied Machine Learning, Supervised Learning, Dataflow, Machine Learning Algorithms, Performance Tuning, Data Analysis, Data Transformation, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Probability Distribution, Probability & Statistics, Statistical Methods, Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Science for Marketing

      Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, Statistical Methods, Customer Analysis, AI Personalization, Unsupervised Learning, Regression Analysis, Descriptive Statistics, Statistical Analysis, Data Analysis, Supervised Learning, Anomaly Detection, Statistical Software, Correlation Analysis, Data Visualization, Advanced Analytics, Bayesian Network, Marketing Strategies, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Scientific Visualization, Data Science, Statistics, Descriptive Statistics, Jupyter, Data Analysis, Data Processing, Analytical Skills, Data Integration, Computational Thinking, Integrated Development Environments, Program Development, Technical Support, Performance Tuning, Critical Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Probability & Statistics, Business Mathematics, Statistics, Microsoft Excel, Data-Driven Decision-Making, Data Analysis, Descriptive Statistics, Excel Formulas, Data Visualization, Statistical Visualization, Regression Analysis, Statistical Analysis, Probability, Arithmetic, Algebra

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…646566…112

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

    • Data Visualization Best Practices: University of California, Irvine
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • From Data To Decision With AI: Vanderbilt University
    • Generative AI for Healthcare Students and Professionals: University of Glasgow
    • Microsoft Azure for AI and Machine Learning: Microsoft
    • Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
    • Building Intelligent Troubleshooting Agents: Microsoft
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Data Science for Marketing: University of Colorado System

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

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