EDS 296-1F
Course Name
Advanced Special Topics in Environmental Data Science: Data Science Tools for Building Professional Online Portfolios
Having a polished online presence is essential for showcasing your skills, projects, expertise, and (importantly) your personality. Learners, collaborators, and future employers alike will look to your public online profiles to glean information about you and your work. As data scientists, this often means that they’ll head to one of two places: GitHub and/or your personal website. This course is designed to help you both lay the foundation for creating and maintaining these profiles in an organized, informative, and visually-appealing way. Over the next several weeks, you will:
- build and deploy your personal website using popular data science tools and frameworks
- create your first (of many!) data science blog posts
- learn about how best to communicate your work to different audiences
- understand where and how to document your projects and code
- and more!
Throughout the MEDS program, you’ll be asked to turn assignments and projects into science communication pieces on your personal website’s blog. These are excellent opportunities to build out your portfolio ahead of your job search.
Please note: We are hoping to pair this class with (optional) facilitated lunches with NCEAS researchers to allow students to engage with practicing environmental data scientists.
Prerequisites
All participants are expected to (a) be familiar with the R programming language and comfortable working in RStudio, (b) have a GitHub profile, and (c) have git configured on their local machine.
- For MESM students: ESM 244 Advanced Data Analysis will fulfill these requirements.
- PhD students should email the instructor explaining their experience with required skills.
Course Syllabus: Fall 2024