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atmos:data_skills_pathway:home [2026/09/01 20:53] – [What Is Expected of Fellows?] marwaatmos:data_skills_pathway:home [2026/09/04 21:15] (current) – [Workspace Links] marwa
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 The **Data Skills Pathway** is a **15-week, hands-on experience** where you learn how to turn **real-world data into real-world decisions**. You’ll build practical skills using raw datasets from instruments and models. The pathway is designed to build skills aligned with roles such as **data analyst, meteorologist, operations analyst, and environmental/aviation data technician**. The **Data Skills Pathway** is a **15-week, hands-on experience** where you learn how to turn **real-world data into real-world decisions**. You’ll build practical skills using raw datasets from instruments and models. The pathway is designed to build skills aligned with roles such as **data analyst, meteorologist, operations analyst, and environmental/aviation data technician**.
  
-**Media:** [[https://blogs.und.edu/und-today/2026/01/und-launches-data-skills-pathway-to-prepare-students-for-ai-age-careers/|UND Today press release: UND launches Data Skills Pathway to prepare students for AI-age careers]]+**Media:**   
 +  * [[https://blogs.und.edu/und-today/2026/01/und-launches-data-skills-pathway-to-prepare-students-for-ai-age-careers/|UND Today press release: UND launches Data Skills Pathway to prepare students for AI-age careers]] 
 +  * [[https://drive.google.com/file/d/121WGE89vhB0Va0-kAzyQsY9fnPO29bTj/view|WDAY TV Story Clip (January 24, 2026): Launch of Data Skills Pathway]]
  
 ===== Why is the Pathway unique? ===== ===== Why is the Pathway unique? =====
-  * **You work with real data (not textbook-perfect data).** You learn how to check data quality, document your process, and make defensible conclusions. + 
-  * **You learn the full workflow end-to-end.** From organizing files and logging metadata → to analysis → to clear communication. +  * **You start with a topic that interests you.** You work with mentors to turn your interest into a real problem that can be explored using data. 
-  * **You connect to live systems and real events.** You’ll interpret measurements and patterns tied to actual conditions (not made-up examples). +  * **You work with real data, not textbook-perfect data.** You learn how to check data quality, organize files, document your process, and make careful conclusions. 
-  * **You produce a portfolio-ready mini-project.** You finish the semester with deliverables you can show to an employer or internship mentor. +  * **You learn the full workflow end-to-end.** From defining a question and finding data → to analysis and visualization → to clear communication. 
-  * **You can bridge into paid research + internships.** Strong performance can lead to paid research work and future opportunities.+  * **You connect your work to real research and applications.** You may work with data related to weather, aviation, aerospace, sensors, engineering, cybersecurity, Artificial Intelligence, or other applied research areas. 
 +  * **You share progress during weekly meetings.** You present short updates, figures, papers, questions, challenges, or early results and learn from other students. 
 +  * **You learn useful tools from mentors.** Mentors may provide short sessions on Python, Excel/CSV files, data cleaning, visualization, reading papers, Artificial Intelligence, sensor data, or scientific communication. 
 +  * **You produce a portfolio-ready mini-project.** You finish the semester with something useful, such as a figure, table, script, notebook, dataset summary, short report, poster, or presentation. 
 +  * **You can bridge into paid research and internships.** Strong participation can help prepare you for paid research work, future internships, and other research opportunities.
 ===== What You Will Do: Four Stages ===== ===== What You Will Do: Four Stages =====
  
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 This experience can help students prepare for undergraduate research, paid internships, graduate school, technical careers, and future work in data-driven fields. This experience can help students prepare for undergraduate research, paid internships, graduate school, technical careers, and future work in data-driven fields.
  
-=== What Is Expected of Fellows? ===+===== What Is Expected of Fellows? =====
  
 Data Skills Pathway Fellows are expected to participate actively, communicate clearly, and make steady progress on a data-based project. Data Skills Pathway Fellows are expected to participate actively, communicate clearly, and make steady progress on a data-based project.
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 Fellows are expected to: Fellows are expected to:
  
-  * Attend Thursday Data Skills Pathway meetings when possible.+  * Attend Data Skills Pathway meetings when possible.
   * Share their interests, project ideas, questions, and progress with the group.   * Share their interests, project ideas, questions, and progress with the group.
   * Work with a mentor to turn an interest into a realistic data-based problem.   * Work with a mentor to turn an interest into a realistic data-based problem.
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 ===== On-boarding Documents ===== ===== On-boarding Documents =====
   * {{:atmos:data_skills_pathway:Undergraduate-Expectations-Guide.pdf|Expectations Guide 2026 (PDF)}}   * {{:atmos:data_skills_pathway:Undergraduate-Expectations-Guide.pdf|Expectations Guide 2026 (PDF)}}
-  * {{:atmos:data_skills_pathway:DataSkillsPathwayParticipantGuide.pdf|Participant Guide 2026 (PDF)}}+  *{{:atmos:data_skills_pathway:data_skillspathwayparticipantguide.pdf|Data Skills Pathway Participant Guide - Fall 2026}}
  
 ===== Pathway Fellows/Mentors ===== ===== Pathway Fellows/Mentors =====
 ==== Workspace Links ==== ==== Workspace Links ====
-  * [[atmos:dsp:workspace|The Student- Mentor Workspace Organization & Structure]]+  * [[atmos:dsp:workspace|The Student- Mentor Workspace]] 
   * [[atmos:data_skills_pathway:workspace:projects|Data Skills Pathway Projects]]   * [[atmos:data_skills_pathway:workspace:projects|Data Skills Pathway Projects]]
-  * [[atmos:dsp:Students Workspace|Data Skills Pathway Fellows (Students)]] +  * [[atmos:dsp:List of Data Skills Pathway Student Participants]] 
-  * [[atmos:dsp: Mentor Workspace |Data Skills Pathway Mentors]]+  
 ==== Other Links ==== ==== Other Links ====
   * [[atmos:home|Atmos Home]]   * [[atmos:home|Atmos Home]]
atmos/data_skills_pathway/home.1788296017.txt.gz · Last modified: 2026/09/01 20:53 by marwa