atmos:data_skills_pathway:home
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| atmos:data_skills_pathway:home [2026/09/01 20:49] – [What you will do (in 4 stages)] marwa | atmos: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, | 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, | ||
| - | **Media:** [[https:// | + | **Media:** |
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| + | * [[https:// | ||
| ===== Why is the Pathway unique? ===== | ===== Why is the Pathway unique? ===== | ||
| - | | + | |
| - | * **You learn the full workflow end-to-end.** From organizing files and logging metadata | + | |
| - | * **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 |
| - | * **You produce a portfolio-ready mini-project.** You finish the semester with deliverables you can show to an employer | + | * **You learn the full workflow end-to-end.** From defining a question |
| - | * **You can bridge into paid research | + | * **You connect |
| + | * **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, | ||
| + | * **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, | ||
| + | * **You can bridge into paid research | ||
| ===== 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, | This experience can help students prepare for undergraduate research, paid internships, | ||
| - | ===== What is expected of Fellows? ===== | ||
| - | * **Commit weekly time** and make steady progress. | ||
| - | * **Meet with your mentor regularly** and come prepared with updates + questions. | ||
| - | * **Communicate early** if you are stuck or your schedule changes. | ||
| - | * **Document your work every week**: | ||
| - | - Weekly progress log | ||
| - | - Data/model log (what data you used + what you changed) | ||
| - | - Reproducible scripts/ | ||
| - | * **Complete the pre- and post-surveys** to help evaluate and improve the pathway. | ||
| - | * **Finish the required deliverables**: | ||
| + | ===== 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. | ||
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| + | Fellows do not need to begin the pathway as experts. The goal is to learn by doing, with support from mentors, instructors, | ||
| + | |||
| + | Fellows are expected to: | ||
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| + | * Attend Data Skills Pathway meetings when possible. | ||
| + | * 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. | ||
| + | * Complete or update their Student-Mentor Workspace. | ||
| + | * Prepare a learning plan, work schedule, and short project brief. | ||
| + | * Communicate with their mentor and ask questions early when they are stuck. | ||
| + | * Bring evidence of progress to check-ins, such as a plot, table, script, notebook, paper summary, error message, or draft output. | ||
| + | * Document their work regularly, including tasks completed, methods used, files created, results, quality checks, and next steps. | ||
| + | * Keep project files organized using clear file names, approved storage locations, and good version-control habits. | ||
| + | * Follow research integrity rules, including honesty with data and results, proper credit, and team rules for sharing project materials. | ||
| + | * Participate in short tool sessions and apply those skills to their own project. | ||
| + | * Prepare a final project update, presentation, | ||
| + | |||
| + | Fellows should come to weekly meetings prepared to answer three simple questions: | ||
| + | |||
| + | * What did I complete this week? | ||
| + | * What question, challenge, or blocker do I have? | ||
| + | * What is my next step? | ||
| + | |||
| + | By the end of the pathway, each Fellow should have made progress on a real project, learned practical data skills, and created something useful that can support future research, internships, | ||
| ===== Interested? ===== | ===== Interested? ===== | ||
| * [[atmos: | * [[atmos: | ||
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| ===== On-boarding Documents ===== | ===== On-boarding Documents ===== | ||
| * {{: | * {{: | ||
| - | * {{: | + | *{{: |
| ===== Pathway Fellows/ | ===== Pathway Fellows/ | ||
| ==== Workspace Links ==== | ==== Workspace Links ==== | ||
| - | * [[atmos: | + | * [[atmos: |
| * [[atmos: | * [[atmos: | ||
| - | * [[atmos: | + | * [[atmos: |
| - | | + | |
| ==== Other Links ==== | ==== Other Links ==== | ||
| * [[atmos: | * [[atmos: | ||
atmos/data_skills_pathway/home.1788295749.txt.gz · Last modified: 2026/09/01 20:49 by marwa