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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Polynomials and Roots

    Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    164 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    649 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    941 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    650 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computer Programming, Computational Thinking, General Mathematics, Systems Of Measurement, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • K

    Knowledge Accelerators

    From Excel to Power BI

    Skills you'll gain: Data Modeling, Data Visualization, Power BI, Data Visualization Software, Dashboard, Data Presentation, Interactive Data Visualization, Data Import/Export, Data Analysis, Data Analysis Expressions (DAX), Data Synthesis, Business Intelligence, Data Transformation, Trend Analysis, Data Sharing, Excel Formulas, Business Analytics, Microsoft 365

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 3 Months

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

  • Algebra: Elementary to Advanced - Polynomials and Roots: Johns Hopkins University
  • Machine Learning: Regression: University of Washington
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Six Sigma Yellow Belt: Kennesaw State University
  • Game Theory II: Advanced Applications: Stanford University
  • A Crash Course in Data Science: Johns Hopkins University
  • Guided Tour of Machine Learning in Finance: New York University
  • Introduction to Computer Science and Programming: University of London
  • Managing Machine Learning Projects with Google Cloud: Google Cloud

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