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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


  • K

    Kennesaw State University

    The Improve Phase for the 6 σ Black Belt

    Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Operational Efficiency, Statistical Methods, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Data Processing, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    195 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Surveillance Systems: Analysis, Dissemination, and Special Systems

    Skills you'll gain: Epidemiology, Trend Analysis, Chronic Diseases, Public Health, Public Health and Disease Prevention, Health Policy, Data Analysis, Biostatistics, System Monitoring, Health Informatics, Technical Communication, Media and Communications, Infectious Diseases, Law, Regulation, and Compliance, Data Ethics, Data Collection, Risk Analysis, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    388 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

    Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Machine Learning, Data Preprocessing

    4
    Rating, 4 out of 5 stars
    ·
    26 reviews

    Intermediate · Project · Less Than 2 Hours

  • T

    The University of Edinburgh

    Intellectual Humility: Science

    Skills you'll gain: Open Mindset, Curiosity, Willingness To Learn, Self-Awareness, Empathy, Child Development, Cognitive flexibility, Emotional Intelligence, Critical Thinking, Social Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    186 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    DevOps on AWS and Project Management

    Skills you'll gain: Software Development Life Cycle, CI/CD, DevOps, Continuous Integration, Agile Software Development, Project Management, Software Development, Continuous Deployment, Application Deployment, Software Testing, Waterfall Methodology, Agile Methodology, Kanban Principles, Scrum (Software Development), Git (Version Control System), Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    Emory University

    Introduction to Social Media Analytics

    Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Social Network Analysis, Customer Insights, Market Analysis, Unstructured Data, Trend Analysis, Research

    4.3
    Rating, 4.3 out of 5 stars
    ·
    111 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of New Mexico

    Desarrollo de Aplicaciones Web: Conceptos Básicos

    Skills you'll gain: Middleware, Web Applications, Agile Software Development, Application Frameworks, Ruby on Rails, User Interface (UI), Software Development, Web Design, Data Modeling, Ajax, Software Architecture, Full-Stack Web Development, Model View Controller, Git (Version Control System), Software Development Tools, Relational Databases, Software Design Patterns, Javascript, Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    143 reviews

    Mixed · Course · 1 - 3 Months

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

  • The Improve Phase for the 6 σ Black Belt: Kennesaw State University
  • Applying Python for Data Analysis: Coursera
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • Surveillance Systems: Analysis, Dissemination, and Special Systems: Johns Hopkins University
  • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
  • Intellectual Humility: Science: The University of Edinburgh
  • DevOps on AWS and Project Management: Amazon Web Services
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Introduction to Social Media Analytics: Emory University

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