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Training and Learning

Northwestern IT Research Computing Services collaborates with campus partners to offer members of the Northwestern research community opportunities to develop data science and computing skills, as well as learn about the services and resources that support research activities on campus.

Workshop topics include: R, Python, data visualization, SQL, Bash, high-performance computing (HPC), and more.  Northwestern Libraries offers workshops on GIS. See the Online Training tab for links to additional free training resources available for Northwestern researchers.

Subscribe to the NUIT-RESEARCH listserv to receive notice of research and training opportunities happening on and off campus.

Current Events

Most workshops are currently offered online; exceptions to this are noted.  Additional online learning resources are also available for independent learning.


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R: Intro to Predictive Modeling with Tidymodels     


 

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R: Intro to Predictive Modeling with Tidymodels       

Introduction to Data Visualization

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GIS: Introduction to ArcPro      

 

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GIS: Introduction to ArcGIS Online         
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Creating Interactive Figures with Python + Plotly

Submitting Jobs and Navigating Quest

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GIS: Introduction to QGIS      

 

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Introduction to Qualitative Analysis with NVIVO     

 

 
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Anaconda Virtual Environments: Mamba, IPython Kernels, and Managing Environments    

 

 
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Oct
4
2022

R: Intro to Predictive Modeling with Tidymodels

Tuesday, October 4 and Thursday, October 6   | 4-5pm | Online

Two day Remote Workshop

This workshop will cover the basics of the Tidymodels package. The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. We will be focusing on how tidymodels can be used to perform an exploratory data analysis as well as feature engineering, model tuning and selection, and model evaluation through simple models. The workshop is not meant to be an exhaustive description of all the tools within tidymodels or the types of models that can be made, but to give a brief overview of the process of model creation that can later be adapted to specific data and research questions. We will cover both regression and classification.

Prerequisites: Basic R at the level of the R Fundamentals workshop

This workshop will be recorded; a link to the recording will be sent out to everyone who is registered. If you cannot attend but want to watch the recording, you need to register.

Oct
6
2022

Introduction to Data Visualization

Thursday, October 6   | 1-2pm | Online

Visualizing your data can be a highly effective way to communicate your research results to a wide variety of audiences. This workshop covers best practices in converting your data into effective charts and graphs (i.e., visualizations).

We will discuss how to get started, ways to tell your data’s story visually and how to thoughtfully use all the tools at your disposal. We will also work through hands-on examples using Python and the Python package matplotlib.

Prerequisites: This is a beginner workshop with no prerequisites.

Oct
18
2022

GIS: Introduction to ArcPro

Northwestern Libraries Workshop Series

Tuesday, October 18   | 1-2:30pm | Online

ArcGIS Online is a cloud-based mapping platform that enables users within an organization to access, create and share maps, analyze and visualize data, build web applications, and more. This workshop is targeted at new users with little to no GIS experience. We will begin with the basics of making a web map, explore the main components of the user interface and their interactions. By the end of the workshop, you will have the ability to create and publish a simple web map.

Prerequisites: None

Oct
19
2022

GIS: Introduction to ArcGIS Online

Northwestern Libraries Workshop Series

Wednesday, October 19   | 1-2:30pm | Online

ArcGIS Online is a cloud-based mapping platform that enables users within an organization to access, create and share maps, analyze and visualize data, build web applications, and more. This workshop is targeted at new users with little to no GIS experience. We will begin with the basics of making a web map, explore the main components of the user interface and their interactions. By the end of the workshop, you will have the ability to create and publish a simple web map.

Prerequisites: None

Oct
20
2022

Creating Interactive Figures with Python + Plotly

Thursday, October 20    | 1-2:30pm | Online

Plotly is a versatile plotting package that can be used with Python to create interactive figures to explore your data in real time. In this workshop you will learn how to create a variety of figures with Plotly. We will explore COVID-19 data together, but you are encouraged to bring your own data as well. The workshop will be hands-on, running through a Jupyter notebook.

Prerequisites: Some prior Python knowledge is required.

Oct
20
2022

Submitting Jobs and Navigating Quest

Thursday, October 20    | 1-2:30pm | Online

This 90-minute interactive workshop builds on the introductory materials presented in our Introduction To Quest video. During this workshop you’ll be guided through a hands-on experience on Quest, Northwestern’s High Performance Computing cluster. You will use Quest to solve exercises, review how to submit jobs and troubleshoot them.

Prerequisites: Before attending this workshop, researchers new to Quest should.

Apply for a Quest allocation. We recommend “Research Allocation I” if you are new to Quest.

• Watch the Introduction To Quest video to get an overview of the system, learn how to submit jobs, and become familiar with best practices. To learn more about Quest, see About Quest.

• Become familiar with Unix command line: see our Intro Command Line and Bash Scripting workshops and check Online Resource Guide for learning basic command line skills.

Oct
25
2022

GIS: Introduction to QGIS

Northwestern Libraries Workshop Series

Tuesday, October 25    | 1-2:30pm | Online

QGIS is a free and open-source cross-platform desktop geographic information system (GIS) application that supports viewing, editing, and analysis of geospatial data. This workshop is targeted at new users with little to no GIS experience. QGIS runs on both Windows and MacOS. In QGIS, we will cover the basics of QGIS along with plotting XY data from a spreadsheet. You will need to download the application and install it. It's available, for free, here.

Prerequisites: None

Oct
26
2022

Introduction to Qualitative Analysis with NVIVO

Northwestern Libraries Workshop Series

Wednesday, October 26    | 1-2:30pm | Online

This workshop will introduce you to NVIVO, a tool for coding and analyzing qualitative data (such as interviews, news articles, or open-ended survey responses). We’ll learn to use NVIVO’s core features and highlight some best practices for using software in qualitative analysis.

Prerequisites: None

Oct
27
2022

Anaconda Virtual Environments: Mamba, IPython Kernels, and Managing Environments

Thursday, October 27    | 1-2:30pm | Online

In this workshop, we will build on the first Anaconda Virtual Environments workshop where we demonstrated how and why Anaconda can help with you with your research software installation needs. Topics covered in this workshop will include the software management utility Mamba and how it relates to Anaconda, installing and using IPython Kernels with Jupyter Notebooks, and some tips and tricks on managing your Anaconda virtual environments.

Prerequisites: Before attending this workshop, it is helpful but not necessary to watch the first Anaconda Virtual Environments workshop.

 
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Creating Interactive Figures with R + Shiny  


 

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Data Exploration Using Glue     
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Nov
3
2022

Creating Interactive Figures with R + Shiny  

Thursday, November 3   | 1-2:30pm | Online

Shiny lets you build interactive dashboards and websites with R without knowing HTML, CSS, or Javascript. Create tools for yourself, or share your data, analysis, and visualizations with the world through simple apps and interfaces. This workshop covers the core components and syntax needed to build a Shiny application, and it provides a foundation for you to explore more advanced topics with Shiny's documentation on your own.

Prerequisites: This workshop assumes familiarity with R at least at the level of the R Fundamentals Bootcamp.

Nov
17
2022

Data Exploration Using Glue

Thursday, November 17    | 1-2pm | Online

Data exploration is an important initial step in any research project, where you might examine your data by creating many plots, select different regions in parameter space to investigate, and explore how different datasets relate to one another. The Glue visualization application is an easy, but powerful, way to explore a variety of data types across multiple disciplines without any coding. In this workshop, I will provide an introduction to the basic functions of Glue through hands-on exercises.

Prior to the Workshop: please install Glue on your own computer; instructions can be found on this workshop's GitHub repository. I will provide a handful of datasets, though I also encourage you to bring your own data to explore with Glue. There are no other prerequisites for this workshop.

 
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Dataquest Online Courses

Access to Dataquest is available for researchers interested in learning or improving their skills with R, Python, SQL, and git through interactive, self-paced courses. Space is limited, and access is granted quarterly.

For more information and a link to the registration page, see Dataquest Access.

Research Computing Services Online Guides

Check out our curated lists of free, online books, exercises, tutorials, videos, and other resources for data science and programming skills.

O'Reilly/Safari Books Online

Northwestern University Libraries provides access to O'Reilly/Safari Books Online. This includes many popular books on programming, software development, and other technology topics. It also includes online tutorials. Students, faculty, and staff can register for an account with a Northwestern email address; access the link from the Northwestern network or VPN.

LinkedIn Learning

Northwestern offers access to LinkedIn Learning (formerly lynda.com) courses for students, faculty, and staff. Courses cover a wide range of technology and business topics including databases, programming, and data analysis.

For more information, see the Human Resources LinkedIn Learning page.

Previous Workshops

A selection of previous workshops is below. We offer many of these workshops at least once a year. If there is a particular workshop topic you're interested in, contact us to discuss options for hosting a workshop.  

Python

Introduction to Python
Next Steps in Python
Data Visualization with matplotlib
Pandas
Scikit-learn
Text Analysis with NLTK
Biopython
GeoPandas
Deep Learning with Tensorflow

R

Introduction to R
Tidyverse
Data Visualization with ggplot2
Shiny
Webscraping with rvest
Statistical Methods
Predictive Modeling
Social Network Analysis and Visualization
Text Analysis

Computing on Quest

Introduction to Quest
Introduction to Command Line
Bash Scripting
OpenMP
Singularity

Other Topics

Programming Concepts
Introduction to SQL
Designing and Creating Databases
Introduction to Git and GitHub
Intermediate Git and GitHub
Data Analysis with Tableau
Introduction to Data Visualization
MATLAB
Data Organization in Spreadsheets
Cloud Computing Essentials

Last Updated: 22 September 2022

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