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Introduction to Python: Data Management and Analysis

Introduction to Python: Data Management and Analysis In-Person / Online

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 beginner class is for you. 

This class 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. 

This class will increase your understanding and skills through hands-on training guided by CSU Libraries’ data specialists. 

The material used as part of this workshop has been adapted from the Data Carpentry's: Data Analysis and Visualization in Python lessons https://datacarpentry.org/python-ecology-lesson/

What you need to bring to the workshop:

What we’re bringing to the workshops:

  • Tea, coffee and light snacks 

 

Date:
Thursday, October 13, 2022
Time:
9:00am - 12:00pm
Time Zone:
Mountain Time - US & Canada (change)
Location:
Morgan room 175
Registration has closed.

Event Organizer

Mara Sedlins
Kevin Worthington

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