Results for "computational+reproducibility"
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Agentic systems
Status: NewStatus: Free TrialSkills you'll gain: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation
Status: Free TrialUniversity of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Biostatistics, Molecular Biology, Analysis, Data Visualization Software, Database Software, Health Informatics, Data Analysis, Data Synthesis, Life Sciences, Statistical Methods, Data Mining, Exploratory Data Analysis, Technical Communication, Unsupervised Learning, Data Processing, Tree Maps, Scientific Visualization, Databases
Status: FreePrinceton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
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
Status: NewStatus: Free TrialPragmatic AI Labs
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cryptography
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
In summary, here are 10 of our most popular computational+reproducibility courses
- Computational Social Science:Â University of California, Davis
- Evaluate and Reproduce Data Findings Fast:Â Coursera
- Optimize AI: Build Reusable Model Pipelines:Â Coursera
- Reproducible Research:Â Johns Hopkins University
- Plant Bioinformatic Methods:Â University of Toronto
- Computer Science: Algorithms, Theory, and Machines:Â Princeton University
- Introduction to Reproducibility in Cancer Informatics:Â Johns Hopkins University
- Production ML with Hugging Face:Â Pragmatic AI Labs
- Track and Evaluate ML Model Experiments:Â Coursera
- Advanced Reproducibility in Cancer Informatics:Â Johns Hopkins University
