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Applied Statistics Courses Online

Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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Explore the Applied Statistics Course Catalog

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    433 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning with Python & Scikit-learn

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Statistics, Interactive Data Visualization, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    105 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python 3 Programming

    Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Data Structures, Software Engineering, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Project Manager

    Skills you'll gain: User Story, Stakeholder Engagement, Software Development Life Cycle, Software Architecture, Project Management Life Cycle, Resource Management, Peer Review, Agile Software Development, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Kanban Principles, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Ethical Standards And Conduct, Classification And Regression Tree (CART), Test Data, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), SAS (Software), Applied Machine Learning, Deep Learning, Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Engineering Analysis, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    349 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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

  • Supervised Machine Learning: Classification: IBM
  • IBM Machine Learning with Python & Scikit-learn: IBM
  • Genomic Data Science: Johns Hopkins University
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
  • Python 3 Programming: University of Michigan
  • IBM IT Project Manager: IBM
  • Foundations of Machine Learning with Azure: Packt
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Generative AI Using SAS: SAS
  • Introduction to Artificial Intelligence (AI): IBM

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