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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: Preview
    Preview
    U

    University of Michigan

    Tobacco & Nicotine: Public Health, Science, Policy, and Law

    Skills you'll gain: Health Policy, Substance Abuse, Lawsuits, Litigation and Civil Justice, Epidemiology, Health Disparities, Policy Analysis, Public Health, Policy Development, Law, Regulation, and Compliance, Trend Analysis, Advocacy

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Unity: Design & Implement Advanced Rendering Effects

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Preview
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    R

    Red Hat

    Introduction to Red Hat OpenShift AI

    Skills you'll gain: OpenShift, Jupyter, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Deployment, Data Storage

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Amazon Kinesis Video Streams - Getting Started

    Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Machine Learning and AI Applications in Healthcare

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Advanced Python: OOP, File Handling & Libraries

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Software Development, Automation, Data Structures, Programming Principles, Maintainability, Python Programming, Debugging, JSON

    5
    Rating, 5 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

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

  • Tobacco & Nicotine: Public Health, Science, Policy, and Law: University of Michigan
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Unity: Design & Implement Advanced Rendering Effects: EDUCBA
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Data Analysis with Python Project : University of Colorado Boulder
  • Machine Learning Fundamentals: Dartmouth College
  • Introduction to Red Hat OpenShift AI: Red Hat
  • Amazon Kinesis Video Streams - Getting Started: Amazon Web Services
  • Machine Learning and AI Applications in Healthcare: Microsoft
  • Advanced Python: OOP, File Handling & Libraries: EDUCBA

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