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Use the portal to discover what ACENET training is coming up, register and participate in sessions, and access course materials.听While you can still view the full catalogue of offerings on the website, the upcoming training will only be available on the portal. Registration for all of ACENET's courses must be done on .

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Using Git Tools Part I: Version Control
19 November, 1300-1630hrs Atlantic | 1330-1700hrs NL (online)
Version control is the practice of managing and sharing changes to documents, programming code, websites or any other files to keep track of what鈥檚 been changed, by whom, when and why. All previous versions of files are saved and you can even revert to a previous version. Git is a version control software. Git-portal sites, like GitHub or GitLab, offer many useful features to facilitate collaborative development. This is the first workshop of a two-part series. The first session focuses on version control. The second explores using Git for collaborative development. This beginner level session will introduce you to Git. We will show you how to create a repository, record changes to files, explore and restore from the recorded history and how to resolve conflicts (when one member overwrites another鈥檚 changes).

Introduction to API Querying for HSS -- Part III in the HSS Python Series
20 November, 1300-1600hrs Atlantic | 1330-1630hrs NL (online)
This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying and Textual Analysis Parts III and IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. API stands for application programming interface. It acts as a communication interface so different computers/systems can talk to the application hosting the API. Querying APIs in HSS research is useful because data changes rapidly and it is a way to capture a small piece of a much larger set of data.

Using Git Tools Part II: Collaboration Platforms
26 November, 1300-1630hrs Atlantic | 1330-1700hrs NL (online)
Version control is the practice of managing and sharing changes to documents, programming code, websites or any other files to keep track of what鈥檚 been changed, by whom, when and why. All previous versions of files are saved and you can even revert to a previous version. Git is a version control software. Git-portal sites, like GitHub or GitLab, offer many useful features to facilitate collaborative development. This is the second workshop of a two-part series. The first session focuses on version control. This session will focus on collaborative development workflows using Git-collaboration sites like GitHub, GitLab or Bitbucket. It will demonstrate how to work with branches, issue tracking, contribute to projects using pull-/merge-requests, code-review, how to run CI/CD-pipelines, and how to use other common features of these platforms.

Textual Analysis using Python for HSS -- Part IV in the HSS Python Series
27 November, 1300-1600hrs Atlantic | 1330-1630hrs NL (online)
This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying and Textual Analysis Parts III and IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. We will use a Python library to analyze textual data and learn about common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more to explore meaningful trends in language patterns.

Visualization with R
28 November, 1300-1500hrs Atlantic | 1330-1530hrs NL (online)
While working with large sets of numbers, it is often quite useful to display the information graphically. Often, we use basic graph types such as histograms, scatter plots, bar charts, boxplots etc. In this session, we will use the programming language R to create visualizations of large datasets. Basic knowledge of R is recommended, although not mandatory. By the end of this session, participants will be able to: create simple scatterplots, histograms, and box plots; compare the plotting features of base R and ggplot2 package; plot with ggplot2; plot time series data; and, arrange and export plots.