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  • Reproducible Research

Reproducible Research Courses

Reproducible research courses can help you learn data management, statistical analysis, and effective documentation practices. You can build skills in version control, data visualization, and creating reproducible workflows that enhance collaboration. Many courses introduce tools like R, Python, and Git, that support conducting and sharing research that others can easily verify and replicate.

Popular Reproducible Research Courses and Certifications


  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Model Optimization, Data Modeling, Public Health and Disease Prevention, Immunology, R Programming, Regression Analysis, Differential Equations, Statistical Methods, Public Health, Statistical Programming, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Publishing on BigQuery for Data Sharing Partners

    Skills you'll gain: Data Sharing, Identity and Access Management, Authorization (Computing), Data Access, Google Cloud Platform, User Provisioning, User Accounts, Data Management, Cloud Computing

    Beginner · Project · Less Than 2 Hours

  • A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Transformation, Statistical Hypothesis Testing, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Medical Privacy, Quality Assurance, Risk Analysis, Risk Management, R (Software), Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Automate R scripts with GitHub Actions: Deploy a model

    Skills you'll gain: Model Deployment, Analytics, R Programming, Scripting, Google Sheets, Email Automation, Tidyverse (R Package), Predictive Modeling, Automation, Data Manipulation, Health Technology, GitHub, Gmail, Git (Version Control System), Command-Line Interface

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    Skills you'll gain: Data Wrangling, Command-Line Interface, Data Transformation, Data Processing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Management, Database Administration

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Enabling Sensitive Data Protection Discovery for BigQuery

    Skills you'll gain: Data Management, Information Management, Data Loss Prevention, Data Security, Cloud Security, Data Access, Google Cloud Platform, Personally Identifiable Information, Identity and Access Management

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Measuring and Improving Speech Accuracy

    Skills you'll gain: Natural Language Processing, Google Cloud Platform, Data Analysis, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Creating a De-identified Copy of Data in Cloud Storage

    Skills you'll gain: Cloud Security, Data Loss Prevention, File Management, Google Cloud Platform, Data Access, Cloud Storage, Data Security, Data Management, Cloud Computing, Personally Identifiable Information, Unstructured Data

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Publish your AppSheet App

    Skills you'll gain: Application Deployment, Cloud Deployment, User Acceptance Testing (UAT), Cloud Applications, Usability Testing, Google Cloud Platform, No-Code Development

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular reproducible research courses

  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Interventions and Calibration: Imperial College London
  • Data Publishing on BigQuery for Data Sharing Partners: Google Cloud
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Making Data Science Work for Clinical Reporting: Genentech
  • Automate R scripts with GitHub Actions: Deploy a model: Coursera
  • Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion: Google Cloud
  • Enabling Sensitive Data Protection Discovery for BigQuery: Google Cloud
  • Measuring and Improving Speech Accuracy: Google Cloud
  • Introduction to Retrieval Augmented Generation (RAG): Duke University

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