Data can be unruly. By learning to more efficiently and effectively manage research data, researchers can make projects smoother, avoid headaches and love their data.
Spreadsheets are a solid starting point for researchers to manage data, but the limitations can be frustrating. If you’re ready to take your research data to the next level with free and open-source software capable of automating tasks and promoting reproducibility, this workshop is for you.
This workshop series is designed for graduate-level and post-doc researchers new to Python, from any discipline, who want to more efficiently and effectively manage and analyze their data.
Day 1: Data Organization and Cleaning with Excel and Open Refine
Day 2: Data Management Using Databases and Intro to Python
Day 3: Data Analysis and Visualization with Python
This intensive, in-person workshop series led by CSU Libraries’ data specialists will increase your understanding and skills through hands-on training guided by experts.
What you need to bring to the workshops:
A laptop (We’ll have loaner laptops available, too.)
What we’re bringing to the workshops:
Tea, coffee and light snacks