Data Dialogue: First Data Scientist Through the Door)
LUNCH: 11:45 SEMINAR: Noon As data science continues to penetrate new markets, data scientists have the opportunity to be uniquely impactful by bringing their skill set to workplaces that have not benefited from such expertise. Non-traditional data science havens, late adopters, and various start-up enterprises represent a set of employment experiences that are distinct from what one might find in established data science infrastructures. This talk will explore the features, bugs, and richness that such opportunities bring as well as touch on some key ideas involved in landing jobs in this space.
CDVS Workshop: R Open Lab: semi-structured opportunities for learning R
Come once or come each week: This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The curriculum is based on the Master the Tidyverse workshop. The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.
CDVS Workshop: Git, GitHub & version control
Version control enables single authors or group collaborators to create and share project timelines, transparently tell the story of a project, manage collaboration, experiment with alternative options, and create back-up repositories. Git is one of the dominant, open-source, version control applications. GitHub is social coding and project cloud tool fed by a git remote. Come learn how all this works and create your own "Hello World" GitHub repository.
CDVS Workshop: Mapping in Tableau
Tableau is a software package that is increasingly popular for creating striking visualizations, such as charts and graphs, from tabular data. It also has an increasing number of capabilities to create maps. Source data can include native geospatial files (such as shapefiles or GeoJSON files), but also tabular data (such as CSV or Excel files) that include locational values, such as place names or coordinate data. This workshop will cover how to create maps in Tableau and on ways to manipulate the data and to effectively symbolize it on a map.
Data Dialogue: Amy Finnegan
LUNCH: 11:45 am SEMINAR: Noon
CDVS Workshop: Research Data Management 101 for Scientists
Scientists work with lots of data both big and small, and in many formats and systems. This workshop will introduce data management practices for scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a sciences lens using discipline-based, concrete examples. During the workshop, participants will also engage in discussions with their peers on data management concepts as well as learn about one specific tool as a method to assess how tools can enable specific data management practices. The tool explored in this workshop will be GitHub - a robust version control tool.