coreR Course
An immersive learning experience applying essential data science tools to environmental research
Let NCEAS kickstart your data and team science skills
coreR takes open science beyond publications — teaching participants about open data, collaborative software, and reproducible analytical workflows. We highlight these technical skills needed to do open science in the ever-evolving data science field. After this five day immersive course, you will be ready to take on your own environmental data science challenges.
Are you ready to take your research to the next level? Register for the next coreR Course below.
This course is taught in partnership with DataONE.
Course Learning Goals
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Increase your confidence in data science
coreR is more than coding in R - it’s also community-centered learning, so you leave knowing which communities to turn to and what resources to utilize long after the course is over.
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Implement reproducible scientific workflows
Effectively manage your data using tidy data practices and develop quality metadata to maximize reproducibility. The results? Seamless publishing and accessing of your data for all.
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Create stunning data visualization and reports
Better communicate scientific analyses and results using Markdown, GitHub webpages, and R packages like {ggplot} and {leaflet} so your take-aways reach a broad audience.
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Improve collaboration with team science
Establish best practices and utilize tools like Git & GitHub, and Data Management Plans to optimize your collaboration. When your team is on the same page, you get to solutions faster.
Meet our Instructors
With their diverse backgrounds and extensive experience doing data science and synthesis science, our instructors bring years of experience in environmental data science, data management, collaboration, and open science to our workshops.
Each training event has two or three trainers in the room at all times. While one instructor leads the lesson, the others help debug errors and answer questions immediately, ensuring no participant is left behind.
Who Should Attend
This opportunity is for researchers and professionals across career stages and sectors who want to gain or advance fundamental data science skills to improve their research techniques, especially for synthesis science. While we welcome all disciplines, we teach this course with an environmental focus and work primarily with environmental data. This course also uses R as the primary programming language. Participants should be familiar with basics of programming in R. If you are unsure of your ability or do not know R and want to learn, please email learning-hub@nceas.ucsb.edu for more information and pre-course preparation recommendations.
* in-person trainings are contingent upon current COVID protocols established by UC Santa Barbara and NCEAS
- Complete your registration online
- Registration is on a first-come, first-serve basis
- To complete registration and confirm your spot, you must submit a $210 non-refundable deposit
- Full payment of the course fee* ($2,100) is due by the registration deadline
- Registration deadline is six weeks before the course start date
If you have any further questions about registration, please reach out to us via email at learning-hub@nceas.ucsb.edu.
*Includes: Five days of hands-on instruction and lunches. Does not include: travel, lodging costs, breakfast or dinner.
Course Location
- 1021 Anacapa St, Santa Barbara, CA 93101 (Third Floor)
- Read additional information about Visiting NCEAS
Accommodations
If you are traveling from outside of Santa Barbara please reach out to us at learning-hub@nceas.ucsb.edu and we will connect you with our Travel Coordinator.
NCEAS secures a reduced rate for local hotels. Participants may also find affordable housing options on AirBnB.
Transportation
NCEAS is located in downtown Santa Barbara, 15 minutes driving from the Santa Barbara regional airport. Most visitors to NCEAS choose to stay within walking distance to NCEAS, and utilize ride-sharing apps (Lyft/Uber) for transport to and from the airport. Santa Barbara also has a bus system, in addition to an Amtrak stop.
Cancellations made before the cancellation deadline will receive a refund subject to a 10% fee. Cancellations made after this date are not eligible for a refund, but may go towards a credit that can be applied to another course session date within a 12 month period.
What participants are saying about core R
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"This course is great for anyone needing formal training in R and Git Hub. Before this course, I was hesitant to venture into data science, but now I feel way more confident and can officially say I have added incredibly useful skills to my belt."
coreR October 2023 participant
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"It is highly informative, not too overwhelming, and extremely useful for a career involving data science."
coreR October 2023 participant
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"It's a great way to cement your understanding of the foundations of R if, like me, you have a lot of experience with R. It was also nice to get a single approach to coding…I am very satisfied with what was taught and how it was taught."
coreR October 2023 participant
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"This course provided skills that I had to cobble together from the internet for myself over months in grad school in one week!"
coreR April 2023 participant
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"Loved this course! The teachers are amazing and this transformed my ability to use R. On Monday morning I had not opened R Studio or Github for 3 years and had been dreading it - now I feel confident wrangling data, making maps, and learning more R!"
coreR April 2023 participant
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"I learned so much in a short amount of time, the tools and coursework used were extremely beneficial to the learning outcomes. This course beautifully allows you to learn how to effectively use R and GitHub for any type of research! Highly recommend!"
coreR April 2023 participant
Funding Opportunity: The Director’s Scholarship
NCEAS is committed to advancing diversity and equity among workshop participants. We recognize the financial barrier that registration and travel costs present and are excited to offer funding opportunities for the coreR Course.
The scholarship award includes a tuition waiver plus reimbursement for travel, lodging, and per diem for each in-person course. Travel and lodging must be reserved through the NCEAS Travel Coordinator. At this time, we are only able to fund in-person participants who currently reside in the United States. For immediate questions please reach out to us at deij@nceas.ucsb.edu.
The scholarship application must be completed online and includes four short essay questions (max 250 words for each question). We recommend preparing your answers before opening the application since you will not be able to save your progress during the application or edit after submitting. See essay questions below:
- In the spirit of expanding the opportunity to a broader applicant pool, we are providing funds to support up to two applicants per virtual training and one applicant per in-person training. If you are currently funding by a NSF or other grant or if you have funding from your employer/advisor/institution, we ask that you first look for eligible support. Please explain your rationale for requesting funding. (250 words)
- What impact will attending this course have on your career and your scientific and/or social communities? (250 words)
- Have any circumstances in your personal and/or professional life presented barriers to your participation in environmental science and/or data science? (250 words)
- We would also like to provide the opportunity for you to share any experience you have working towards diversity, equity, and inclusion in environmental science and/or data science. (250 words)
Questions? Email deij@nceas.ucsb.edu.
The coreR course was very diverse, which is quite a triumph in environmental science and coding, and I think that's a direct result of the Director’s scholarship. It makes a big difference for the experience women of color have while visiting institutions and taking part in courses like this.