Data Carpentry ( workshops introduce the computational skills needed for effective data management and analysis. Instructors guide participants through the data lifecycle, with hands-on exercises on topics from data cleaning and organization in spreadsheets to data analysis and visualization with R or Python. Workshops assume no prior computational experience and provide a user-friendly and fun environment in which to learn data-driven research skills.
This workshop provides participants with fundamental skills they can utilize through their entire research careers. Although the workshop utilizes an environmentally-focused dataset (sampling locations and species counts, etc.) the skills learned are applicable to any data-intensive research area. The skills covered in this two day workshop are ideal for incoming graduate students in computationally-intensive fields, or any researcher looking for more experience with R or Python. With a solid base in data management and organization, participants leave the workshop equipped to tackle their own research topics effectively, efficiently, and reproducibly.
The workshop cost is $25.
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