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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.


Popular Applied Statistics Courses and Certifications


  • Status: New
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    Coursera

    Optimize AI Prompts for Cost and Quality

    Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Operational Efficiency, Cost Management, Mitigation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Analysis, Artificial Intelligence, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    279 reviews

    Intermediate · Course · 1 - 3 Months

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    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Health Care, Health Disparities, Community Health, Data Analysis, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Design Thinking, Software Development Methodologies, Software Design Patterns, Agile Methodology, Agile Project Management, Process Mapping, Engineering Software, Software Engineering, Software Design, Kanban Principles, Software Quality Assurance, Software Development Life Cycle, Software Architecture, Scrum (Software Development), Software Quality (SQA/SQC), User Experience Design, Requirements Analysis, Secure Coding

    4.7
    Rating, 4.7 out of 5 stars
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    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Statistical Methods, Python Programming, NumPy, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    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
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    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

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

  • Optimize AI Prompts for Cost and Quality: Coursera
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Epidemiology in Public Health Practice: Johns Hopkins University
  • Software Development Lifecycle: University of Minnesota
  • Machine Learning: Regression: University of Washington
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • AI for Medical Diagnosis: DeepLearning.AI
  • Regression Models: Johns Hopkins University

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