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tracks.yaml
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tracks:
- name: "Fundamentals"
short_name: "fundamentals"
description: "For beginners, this track covers essential digital skills and concepts in the humanities, including data literacy, basic programming, and digital research methods."
workshops:
- "command-line"
- "git"
- "sql"
- name: "Python"
short_name: "python"
description: "This track focuses on Python programming for humanities research, covering data manipulation, analysis, and visualization with libraries like Pandas and Matplotlib."
workshops:
- "python"
- "pandas"
- "creating-simulations"
- "text-analysis"
- name: "Web Development"
short_name: "web-dev"
description: "Learn the basics of HTML, CSS, and JavaScript for building and styling web pages, with an emphasis on digital storytelling."
workshops:
- "html-css"
- "javascript"
- name: "Data Visualization"
short_name: "data-vis"
description: "This track teaches data visualization principles, guiding learners in creating visual representations of data using tools like Python and JavaScript."
workshops:
- "data-literacies"
- "mapping-javascript"
- name: "Simulation and Modeling"
short_name: "simulation"
description: "Explore simulation and modeling basics for humanities research, with workshops on developing simple simulations using Python."
workshops:
- "creating-simulations"
- name: "Advanced Data Analysis"
short_name: "adv-data-analysis"
description: "For those with a strong Python foundation, this track delves into text analysis, machine learning, and statistical methods."
workshops:
- "text-analysis"
- name: "Mapping"
short_name: "mapping"
description: "This track introduces mapping techniques and tools such as GIS and digital mapping libraries to visualize geographical data for humanities research."
workshops:
- "mapping"
- "mapping-javascript"
- name: "JavaScript"
short_name: "javascript"
description: "Learn JavaScript fundamentals and its use in creating dynamic and interactive web applications, with a focus on projects relevant to digital humanities."
workshops:
- "javascript"
- "mapping-javascript"
- name: "R"
short_name: "r"
description: "This track covers data analysis and visualization using R, focusing on techniques for processing, analyzing, and visualizing humanities-related datasets."
workshops:
- "intro_to_R"
- name: "Data"
short_name: "data"
description: "The Data track emphasizes data handling skills, including data collection, cleaning, and management techniques essential for digital humanities projects."
workshops:
- "data-literacies"
- "pandas"
- "sql"