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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


More to explore:

Popular Applied Statistics Courses and Certifications


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    Microsoft

    R Programming Essentials with Microsoft Tools

    Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Descriptive Statistics, Statistical Programming, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    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

  • Status: Free Trial
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    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
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    53 reviews

    Advanced · Course · 1 - 3 Months

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    American Psychological Association

    How to Create and Explore a Data Set

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Intellectual Humility: Practice

    Skills you'll gain: Empathy, Critical Thinking, Research, Diversity Awareness, Open Mindset, Emotional Intelligence, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
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    153 reviews

    Beginner · Course · 1 - 3 Months

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    Universitat Politècnica de València

    Bases matemáticas: Álgebra

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, General Mathematics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.3
    Rating, 4.3 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 4 Weeks

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    Meta

    GenAI in Social Media Marketing

    Skills you'll gain: Target Audience, Generative AI, Social Media Marketing, Social Media, Social Media Content, AI Personalization, Social Media Strategy, MarTech, Content Creation, Digital Marketing

    4.7
    Rating, 4.7 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    41 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Saïd Business School, University of Oxford

    AI Governance

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Compliance Management, Enterprise Risk Management (ERM), Risk Management, Business Ethics, Artificial Intelligence, Ethical Standards And Conduct, Organizational Strategy, Law, Regulation, and Compliance, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Generative AI, Information Management, Agentic systems, Generative AI Agents, Business Leadership

    4.8
    Rating, 4.8 out of 5 stars
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    67 reviews

    Beginner · Course · 1 - 3 Months

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

  • R Programming Essentials with Microsoft Tools: Microsoft
  • Linear Regression Modeling for Health Data: University of Michigan
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • How to Create and Explore a Data Set: American Psychological Association
  • Intellectual Humility: Practice: The University of Edinburgh
  • Bases matemáticas: Álgebra: Universitat Politècnica de València
  • Social Computing: Johns Hopkins University
  • Gestion de l’analyse des données: Johns Hopkins University
  • GenAI in Social Media Marketing: Meta

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