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IT Service Status
IT Service Status

Hands-on Learning for Researchers Across Various Disciplines

Training and Consultation

Workshops

Join our workshops to gain valuable skills, collaborate with experts, and enhance your research capabilities through hands-on learning experiences designed to drive innovation and uncover new insights.

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AI for Research

Advanced algorithms and machine learning techniques are used to analyze large datasets, automate complex tasks, and enhance bioinformatics, climate modeling, and social sciences decision-making processes to drive innovation and uncover new insights.

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Next Steps in Python

Used for various applications, including web development, data analysis, artificial intelligence, scientific computing, and automation. Python's simplicity and readability make it popular for beginners and experienced developers.

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Next Steps in R

Utilized for statistical computing and data visualization, offering a wide range of techniques such as linear and nonlinear modeling, classical statistical tests, clustering, and time-series analysis.

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Research Computing

Applying advanced computing technology, data storage systems, and high-speed networks to support scientific and engineering research. The workshops enable researchers to analyze large-scale data, simulations, and visualizations.

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Genomic Analyses

The Genomics Compute Cluster (GCC) is part of Northwestern University's high-performance computing cluster, Quest, and provides resources for job submission, data management, and command line utilities.

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Other Workshops

Find other workshops that offer a variety of interactive sessions designed to enhance skills, foster collaboration, and provide hands-on learning experiences across different research computing and data sciences.

Other Resources

The Research Computing and Data Services team works across the University to help support our research community's computational, data, and technology needs through consultation, collaborative projects, and a range of resources and services.

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  • Resource Guides: Research Computing and Data Services team members have curated lists of free books, videos, online courses, tutorials and other materials to help you learn R, Python, SQL, git, and more.
  • O’Reilly Online Learning: Northwestern University Libraries provides online access to many popular books and other resources covering programming, software development, data visualization, machine learning, and other technology topics. Register for an account with a Northwestern email address by clicking “Institution not listed?”; once you have an account, you can log in directly.
  • LinkedIn Learning: Northwestern Human Resources provides access to courses on a wide range of technology topics, including databases, programming, and data analysis.
  • Quest User Guide and Documentation: your guide to using Northwestern’s high-performance computing cluster.
Research computing and data science staff leading a consultation

Are you looking for help from a person instead? We can meet with you one-on-one to answer questions on using computational and data resources and methods in your research.

People collaboratingData Science, Statistics, and Visualization staff collaborate directly with Northwestern researchers on active research projects to provide specialized expertise and data science, statistics, and visualization skills necessary for the research.

  • Exploratory Projects assist researchers in determining the feasibility of an idea and developing a project plan. We can also help develop grant proposals for funding larger projects.
  • Research or Scholarly Product Projects aim to produce specific research or scholarly outputs, such as publications, data sets, data models, analyses, software, applications, or visualizations.

Learn more about project collaboration support.

CoDEx poster sessionWe support the computational and technology needs of Northwestern researchers across all disciplines and schools.

Read more about our past work in our research case studies.