Ds Scholarship

Free data analysis, visualization workshops on offer by Brock Digital Scholarship Lab – The Brock News

A series of upcoming Brock workshops aims to satisfy the curiosity of anyone interested in learning how to use data analysis and visualization software, such as Python, PowerBI, and Tableau.

The Brock University Library (DSL) Digital Grants Lab offers several free introductory online workshops in February and March.

The workshops will explore how to use a variety of tools to organize, visualize and analyze data; identify trends and ideas in the data; Create high-quality scientific and technical presentations.

In addition to introductory classes, DSL offers a series of four-part Python workshops in March for people interested in exploring how to use a popular programming language beyond basic data science research, including text analysis and machine learning.

The workshops are open to faculty, students, staff, and the broader Niagara community in Brook. Each is two hours long and takes place via Zoom or Microsoft Teams. Some Python workshops also include the Google Colab environment.

To register, click on the workshop titles below or search for workshops on ExperienceBU. All workshops will be registered, with a transcript provided to attendees.

Brock’s DSL is a collaborative, multidisciplinary center for digital scholarship on campus. The Digital Scholarship draws on a wide range of expertise from various library libraries, research data management, data visualization, data processing, digital preservation, and digital pedagogy.

Located on the ground floor of the Rankin Family Suite, the innovative and modern space includes eight high-performance computers for faculty and student researchers to use in data management, analysis, and visualization, as well as state-of-the-art visualizations. A wall comprising three high-resolution 70-inch LCD panels to present various forms of digital content.

While technology and tools are often used by researchers, they can also be used to build pedagogy and enhance students’ learning experience. DSL staff can work with instructors to schedule class workshops or develop units to fit the course curriculum. Staff is also available for individual or small group consultations.

DSL offers many tools and tutorials for Brock researchers without out of pocket costs, such as digital exhibitions, digital book publishing, digital journal publishing, on-demand research tools, and cluster computing for humans.

DSL regularly offers workshops for anyone interested in computer programming, data management, and geographic information systems. DSL workshops are listed on ExperienceBU and Eventbrite.

For more information on DSL and its workshops, visit brocku.ca/library/dsl

Upcoming introductory workshops

R to parse text
Wednesday, February 2 from 10 a.m. to noon via Zoom.

R is a programming language for statistical computing and graphics. In this workshop, participants will learn how to perform a simple step-by-step analysis of text data using the R programming language.

Introduction to Python
Thursday, February 3 from 2-4pm via Zoom.

Python is a popular and versatile programming language. In this workshop, participants will learn the basics of the Python language for conducting basic data science research.

The second presentation of Introduction to Python takes place on Thursday, March 3rd from 10 am to noon as part of a series of four Python workshops. See below for more information on the series.

ArcGIS StoryMaps
Friday, February 4 from 10 a.m. to noon via Microsoft Teams.

ArcGIS StoryMaps combines narrative text, images, audio, video, and interactive maps using a web-based authoring platform. In this workshop, participants will use the story of Laura Secord’s famous walk from Queenston to Thorold as a theme for creating an ArcGIS StoryMap.

Introduction to OpenRefine
Wednesday, February 9 from 10 a.m. to noon via Zoom.

OpenRefine is a data management application for data cleaning and format conversion. In this workshop, participants will learn how to use OpenRefine to work with CVS data files in intuitive and effective ways, such as ensuring data accuracy; Use formulas to convert data into more comprehensive formats; and determine the trends of results.

Introduction to LaTeX
Thursday, February 10 from 1-3pm in person and via Microsoft Teams.

LaTeX is a typesetting system commonly used to create high-quality cloud-based scientific and technical documents and presentations that can be collaboratively edited. In this workshop, participants will learn the basics of LaTeX using Overleaf, a collaborative browser-based LaTeX environment, to create a document in LaTeX and learn text formatting and commands for writing mathematical equations. This entry-level class is offered in a hybrid format, with limited space available in the DSL on a first-come-first-served basis.

Introduction to PowerBI
Wednesday, February 16 from 10 a.m. to noon via Zoom.

PowerBI is the data visualization platform from Microsoft. In this workshop, participants will learn how to use this powerful analysis tool to transform data into useful visualizations; Create insights to enable fast and easy data analysis; share data with colleagues; cooperation with others; Enhanced search and presentations.

Github for researchers
Friday, February 18 from 10 a.m. to noon via Zoom.

Git is a version control system that allows efficient and effective project collaboration. Git and GitHub allow multiple people to share and edit projects, as well as keep track of reviews. In this introductory workshop, faculty and student researchers will learn how GitHub can be used to support research.

The second GitHub show for researchers takes place on Thursday, March 31 from 10 a.m. to noon.

Introduction to Tableau Part 1
Wednesday, March 1 from 10 a.m. to noon via Zoom.

Tableau is a powerful data analysis and visualization tool that allows users to work with large or small data sets quickly and easily. In this workshop, participants will learn how to import data and create different styles of effects for data visualization.

Introduction to Tableau Part 2
Wednesday, March 9 from 10 a.m. to noon via Zoom.

Participants will apply what they learned from Part 1 to create a report using the available data sets.

Mars Python Workshop Series

Introduction to Python
Thursday, March 3 from 10 a.m. to noon via Zoom.

The class will work on the basics of the popular and multi-programming language Python. By the end of the two hours, participants will be able to use Python to conduct basic data science research.

Data science with Python
Thursday, March 10 from 1 to 3 p.m. via Zoom

Participants will learn how to use Python to analyze a data set to find trends, visualize results, and perform complex analysis. Learners will also examine the Pandas and Matplotlib libraries using a test data set of more than 100,000 data points. The class will take place in a Google Colab environment, and participants will need a free Google account to participate.

Machine learning using Python
Thursday, March 17 from 10 a.m. to noon via Zoom.

Machine learning is the study of computer algorithms that use a data analysis method to automate the construction of an analytic model. In this workshop, participants will learn the basics of machine learning using the Pandas and SciKit libraries. By the end of the session, participants will understand how to apply machine learning methodologies to a data set to predict outcomes. The class will take place in a Google Colab environment, and participants will need a free Google account to participate.

Text parsing using Python
Friday, March 25 from 10 a.m. to noon via Zoom.

Text analysis extracts interesting information from human language in intelligent and efficient ways. Text analysis is often used by researchers to compile diverse and unstructured data into a structured form. In this workshop, participants will scan Python libraries, such as NLTK and TextBlog, for data insights and sentiment, and will use Matplotlib to visualize results. The class will take place in a Google Colab environment, and participants will need a free Google account to participate.

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